Remote - London UK, United Kingdom We're an AI-driven hospitality tech platform helping vacation rental owners automate their revenue on Booking.com and Airbnb. We sit on Booking.com private API data, Airbnb channel data, and scraped competitive pricing across thousands of properties — and right now we barely use it. Our agent is rules-based where it should be data-driven, and our promotions engine has no model behind it. We're looking for a founding ML/Data Scientist to change that. You'll turn dormant data into a smarter agent and a compounding moat. The Role You'll be the first person to seriously dig into our data, find the signals that drive revenue, and work with engineering to make the agent act on them. Find what matters — dig through Booking.com, Airbnb, and competitive data to separate signal from noise. Separate cause from correlation — when a promotion drives a booking, was it causal? When occupancy drops, is it pricing, seasonality, or competition? We want rigorous answers, not guesses. Turn insights into revenue — translate findings into logic the agent can use, measurably better than a human's. Shape the data strategy — decide what to track, what to enrich, and where the highest-value opportunities are. Ship to production — this isn't a notebooks role. You'll work inside our Django + ClickHouse stack alongside the engineering team. Logistics Remote-first for UK-based candidates. Expect to be in London for WeWork sessions a few days a month, flexibly, for onboarding, planning, and product work. Interview Process 1. 30-min non-technical call with the CTO Take-home data challenge using a sample of real OTA data 1-hour deep dive on your submission with the founding team In-person meeting with both founders Offer Why This Role Unique data — Booking.com private API data, Airbnb channel data, and scraped competitive pricing. This dataset doesn't exist at most companies. Real impact — your models drive revenue decisions for thousands of properties. High equity for our stage. A compounding moat — every property we add makes the data richer and the models better. Salary £70k–£100k · Equity 0.5%–1%. Who You Are A real data scientist who reaches for statistics and experiments first, and knows when a result is significant versus noise. Strong with time series. Causal by instinct — you don't confuse correlation with causation. You can design holdouts and A/B tests, and reason about confounders when a clean experiment isn't possible. Comfortable in the mess — real OTA data is dirty, sparse, and seasonal. You wrangle it, find the signal, and build features that predict revenue. Fluent in modelling — forecasting, uplift and causal models, and the judgement to pick the simplest thing that works. Ships to production — not a notebooks role. You write clean, deployable Python (pandas, NumPy, scikit-learn) and get your models live in our Django and ClickHouse stack. A product thinker who cares about revenue impact, not what's technically interesting. AI-first — you use AI coding tools with multiple agents to ship faster, ideally pushing into self-learning ML or agentic workflows. If you don't already use frontier AI tools, this isn't the role for you. Skills: Python · pandas · NumPy · scikit-learn · Time Series · Causal Inference · Forecasting · Experimentation · PostgreSQL · ClickHouse · Django · AI agents

LATAM, LATAM, LATAM Crehana is a B2B SaaS platform powered by AI that delivers integrated talent management solutions to clients across Latin America — skills, learning, performance, and career development in one place. Our mission: make people development universal. We're looking for a hands-on Tech Lead. Someone who leads by example: you set the technical direction, mentor your team, and when the moment calls for it, you roll up your sleeves and write code. What you'll own: Architecture and technical decisions for scalable backend services Code quality standards, code reviews, and CI/CD practices Mentorship and growth of your engineering team Collaboration with Product and DevOps to ship impactful features Stability, security, and evolution of our platform Tech stack: Python + FastAPI (required) Docker / Kubernetes / microservices AWS, GCP, or Azure PostgreSQL, MySQL, MongoDB REST APIs / GraphQL (nice to have) Terraform (nice to have) Apply: https://www.crehana.com/p/crehana/jobs/2ca97417-9f01-48a6-a426-7950565e7672/ We're looking for a hands-on leader who still writes code when it matters. This could be someone who has already led engineering teams working with Python and modern backend stacks — or an experienced engineer with deep technical expertise who is ready to step into a leadership role for the first time. Must-have Experience leading engineering teams (junior and mid-level), or a seasoned engineer ready to take that next step Strong Python proficiency with FastAPI Hands-on experience with microservices, Docker, and Kubernetes CI/CD pipelines and automated testing practices SQL and NoSQL databases: PostgreSQL, MySQL, MongoDB Cloud platforms: AWS, GCP, or Azure Security awareness and compliance standards Strong communication, collaboration, and problem-solving skills Comfortable with agile methodologies (Scrum, Kanban) Nice to have RESTful API design and/or GraphQL Terraform for infrastructure as code

Bangalore, Pune, India We are seeking a highly skilled and innovative Python / AI Engineer to join our team and help us build the next generation of AI-powered enterprise systems. We are actively investing in LLMs, agentic workflows, and applied AI systems, but much of this potential is still untapped. Today, our AI initiatives are fragmented—PoCs exist in silos, LLM integrations are early-stage, and there is no unified intelligence layer across the application landscape. We’re looking for someone who can change that. You will sit at the intersection of engineering, R&D, and business teams, turning AI experimentation into production-grade systems that deliver measurable impact. This is not a “model training-only” role—you will be expected to design, build, and ship end-to-end AI solutions. The Role You will be the first deep technical owner responsible for turning our AI ambition into real, working systems that drive business outcomes. Build and productionize AI systems — Design and implement LLM-powered applications, AI agents, and intelligent automation workflows that integrate directly into our core product ecosystem. Develop PoCs and scale them into production — Rapidly prototype AI/ML solutions, validate feasibility with stakeholders, and evolve them into scalable, reliable services. Integrate LLMs into real business workflows — Work with APIs, orchestration frameworks, and model providers to embed LLM capabilities across applications (chat, reasoning, summarization, retrieval, and automation use cases). Design intelligent systems, not just models — Focus on end-to-end architecture: data flow, prompt orchestration, memory, evaluation, guardrails, and feedback loops. Bridge R&D and engineering — Translate research ideas and business problems into working AI systems that can be deployed, monitored, and improved iteratively. Drive AI adoption across the organization — Collaborate closely with product, engineering, and business stakeholders to identify high-impact opportunities where AI can meaningfully improve efficiency or decision-making. Skills required: 1.Minimum 8+ years of experience in AI/ML development. 2.Advanced proficiency in Python. 3.Strong understanding of AI frameworks (e.g., TensorFlow, PyTorch). 4.Expertise in at least one LLM (e.g., GPT, Claude, LLaMA). 5.Solid foundation in Data Science and statistical modeling. 6.Experience with Agentic Workflows using LangChain-based agents. 7.Hands-on experience with LangGraph (e.g., hackathons or MCPs). 8.Deep understanding of fine-tuning techniques for LLMs. 9.Hands-on experience with Transformer architecture and its evolution from earlier models. Responsibilities: 1.Design and develop PoCs and present them to business stakeholders. 2.Build and deploy innovative AI solutions using state-of-the-art models. 3.Integrate LLMs into existing and new applications. 4.Develop new functionalities within R&D applications. 5.Promote and implement best process practices across AI development workflows.

Illinois, Chicago, United States We are looking for an experienced Python / DevOps engineer to complete a one-time private setup of a Chatterbox-based voice-cloning system. The role includes deploying the model in a secure private environment, building a simple internal web interface for non-technical users, and ensuring that all voice samples and generated audio remain inside our own infrastructure. This should be a straightforward project for someone experienced with Python, server deployment, and basic web application setup. Job requirements Strong experience with Python and Python environments. Experience deploying AI or machine-learning models on servers. Basic web development skills to build a small internal web page or API. Understanding of security and access control for internal tools. Ability to work independently on a one-time setup project. Clear communication and ability to provide simple handover documentation. Experience with DevOps, server deployment, or internal tools is a plus.

REMOTE, REMOTE As a software engineer, you'll join a team tackling complex challenges in automating, streamlining, and scaling engineering and support workflows through the development of critical APIs and applications. This role requires actual engineering thinking to build robust internal systems. Ready to tackle complex engineering challenges that directly impact how our engineering and support teams work? Who we are NOT looking for: Agencies People who are looking for a side “hustle” or are starting their own business To apply: please fill out this form: https://forms.clickup.com/2257368/f/24wer-176357/RX6L92YGBHLB386KYI Additionally, please start your cover letter with: “I AM A PYTHON ENGINEER FOCUSED ON DEVOPS AND INTERNAL TOOLS” (in ALL CAPS) Required Skills: Core Engineering Strong Python experience Test-driven development (TDD) and pytest proficiency Familiarity with, and adherence to, PEP guidelines and Python coding standards Thoughtful development centered around performance, deeply optimized code, and proper code organization Bug identification and resolution with local testing Infrastructure & DevOps Experienced with Linux at the terminal level RESTful/CRUD API development and design best practices Designing and implementing resilient, internal-facing APIs and infrastructure tools Security practices and vulnerability prevention Git version control with branching strategies Databases PostgreSQL experience: schema design, optimization, advanced queries Professional Requirements English fluency (written/verbal) Previous experience working for a US-based company

100% Remote, USA Six Feet Up is seeking a Senior Data Engineer with deep experience designing, building, and maintaining secure, scalable data systems. In this role, you will work with cross-functional teams to turn complex data challenges into reliable production solutions. You will design data pipelines, build processing workflows, improve data quality, support machine learning initiatives, and help clients make better use of structured, unstructured, time-series, sensor-based, and high-volume data. We are looking for someone who can bring technical leadership, sound engineering judgment, and strong communication skills to ambiguous data problems. The ideal candidate is comfortable working across data engineering, cloud infrastructure, machine learning support, and production software delivery. As a Senior Data Engineer, you will: Design, build, and maintain robust, scalable data pipelines Develop ETL/ELT workflows for collecting, transforming, validating, and storing data Work with cloud-based data processing and storage systems Implement data validation, quality checks, monitoring, and transformation workflows Process complex datasets, including noisy, high-volume, time-series, sensor, or device-generated data Support machine learning workflows, including data preparation, model training, evaluation, and production integration Collaborate with data scientists, researchers, software engineers, and client stakeholders Translate prototype data workflows into reliable, maintainable production systems Create systems that are well-documented, testable, secure, and ready for audit or review Communicate technical tradeoffs clearly to both technical and non-technical audiences If you are a motivated Senior Data Engineer seeking a challenging and meaningful role, we encourage you to apply. We are looking for someone with strong hands-on experience in: Data pipeline architecture and implementation ETL/ELT orchestration tools such as Airflow, Dagster, or similar platforms Python-based data engineering and data processing tools Cloud-based data infrastructure, storage, and processing Data modeling, schema design, validation, and quality-control practices Working with public, proprietary, structured, and unstructured datasets Time-series, sensor, IoT, or other high-volume data sources Supporting machine learning or data science teams with reliable data workflows Building reproducible, testable, and maintainable data systems Version control, automated testing, and collaborative software development practices Strong candidates may also have experience with: Machine learning pipelines for classification, prediction, recommendation, or categorization systems MLOps, model evaluation, experiment tracking, and reproducible ML workflows Processing noisy signal data or other data that requires cleaning, filtering, or feature extraction Healthcare, digital health, research, or regulated software environments HIPAA, privacy-preserving data architecture, or secure cloud data processing Working with sensitive, clinical, or user-generated data Helping researchers or domain experts scale early-stage algorithms into production-ready systems Designing systems that support thousands or more users A Plus: Experience with containers, CI/CD, DevOps practices, or Kubernetes Familiarity with AWS, Google Cloud, Azure, or similar cloud platforms Experience with consumer analytics, dashboards, or data visualization products Experience supporting FDA, SaMD, clinical validation, audit, or regulatory documentation efforts Experience designing secure data workflows for privacy-sensitive applications About You You are a senior engineer who brings structure to ambiguous technical challenges. You ask thoughtful questions, identify risks early, and know how to balance research needs, business goals, engineering quality, and long-term maintainability. You care about data quality, privacy, testing, documentation, and clear communication. You are comfortable designing architecture, writing production code, reviewing data workflows, and collaborating with people from different technical backgrounds. You enjoy helping clients move from ideas and prototypes to secure, scalable, production-ready systems.

Durham, North Carolina, USA We are looking for Agentic AI Scientists eager to utilize their expertise in these advanced technologies to revolutionize our drug development processes. In the Pharmaceutical Technology and Development (PT&D) department, you will be a key player in transforming molecules into groundbreaking medical treatments. Your role involves contributing data science expertise into cross functional global pharmaceutical development projects in support of transforming the way we deliver medicines to patients. You'll play a pivotal role in shaping our AI strategy and driving the co-development of sophisticated HITL multi-agent systems. We are hiring two candidates for this position and the roles will be based at our dynamic site in Durham (USA). Essential skills/Experience: PhD in computer science, data science, artificial intelligence, machine learning or related fields. At least 3 years of experience in Deep Learning and ML Excellent coding skills in languages such as Python, R. Hands-on industrial experience designing multi-agent patterns, digital twins and experience with agentic AI design patterns, reinforcement learning. Extensive industrial experience with AI and ML frameworks like TensorFlow, PyTorch, Hands-on experience with GenAI orchestration frameworks such as LangGraph, CrewAI Hands-on experience with reinforcement learning libraries such as OpenAI Gym, Ray RLlib, or Stable Baselines. Hands-on industrial experience with applied machine learning domains such as deep learning, NLP, GenAI. Desirable skills/experience: Contributions to open-source projects. If you meet these criteria, please highlight merged GitHub PRs in your application. Strong publication record in the field of AI. Experience designing multi-agent systems in the pharmaceutical sector. Experience delivering machine learning projects with applications in pharmaceutical development, chemical engineering or chemistry. Experience with one or more of the following applied machine learning domains such as transfer learning, federated learning, few/zero shot learning, meta learning, explainable AI.

Montreal, QC, Canada Role Overview As Data Acquisition & Infrastructure Engineer, you will be the foundation of MAI's data capabilities. Your primary focus will be the development and operation of automated data collection pipelines that aggregate publicly available information from across the art market ecosystem. You will also own the design and maintenance of the underlying database infrastructure — built on PostgreSQL and AWS — that stores and serves this data. This is a high-ownership role. The infrastructure is partially built; you will take it to production scale. You will work closely with AI engineers, a computer vision engineer, a product manager, full-stack developers, and the Head of Art Research, reporting directly to the Head of AI Engineering. Key Responsibilities DATA PIPELINE & COLLECTION Architect and maintain automated pipelines that collect, normalize, and ingest publicly available art market data from web-based sources Build reliable, maintainable collection systems using Python (Scrapy, BeautifulSoup, Playwright, or equivalent), with a strong emphasis on resilience, scheduling, and data freshness Manage pipeline orchestration and scheduling using tools such as Apache Airflow, AWS EventBridge, or cron Navigate the practical challenges of large-scale public data collection, including access patterns, rate constraints, and source reliability Handle messy, inconsistent real-world datasets — clean, transform, and standardize data for downstream consumption DATABASE ENGINEERING Design, build, and maintain relational database schemas in PostgreSQL (hosted on Amazon RDS) to support complex, multi-entity art market data — artists, works, transactions, provenance, and valuation history Develop and optimize queries, indexes, and data models to ensure performance at scale Establish and enforce data quality standards, validation rules, and integrity constraints across the database Collaborate with AI engineers and the computer vision team to ensure the data layer supports model training and inference requirements INFRASTRUCTURE & OPERATIONS Deploy and manage pipeline workloads on AWS (Lambda, EC2, S3, RDS) Monitor pipeline health, data freshness, and system reliability — proactively address failures Contribute to infrastructure-as-code practices as the team scales Core Requirements 3–5 years of professional experience in data engineering or a closely related discipline Proven experience building and maintaining automated data collection pipelines from web-based public sources using Python (Scrapy, BeautifulSoup, Playwright, or Selenium) Strong data cleaning and normalization skills, with demonstrated ability to handle heterogeneous, inconsistent real-world datasets Solid PostgreSQL experience: schema design, query optimization, and database maintenance Hands-on AWS experience: Lambda, EC2, S3, RDS Experience scheduling and orchestrating data pipelines (Apache Airflow, AWS EventBridge, or equivalent) Experience navigating the constraints of large-scale public data collection, including reliability, access patterns, and data freshness challenges Nice to Have Knowledge of data quality frameworks and validation pipeline design Experience with containerization (Docker) and infrastructure-as-code (Terraform, AWS CDK) Familiarity with ETL/ELT tooling (dbt, AWS Glue, or equivalent) Exposure to art market platforms (Christie's, Sotheby's, Artsy, Artnet) or understanding of how auction and gallery data is structured Background or genuine interest in the art world, collectibles, or alternative asset markets Experience in a startup or early-stage environment where ownership and adaptability are essential

Remote, Remote Contract hours: Full time Location: Remote (within 2 hours of London timezone) Salary: €25k - €30k depending on experience About Adzuna Adzuna is a job search engine that lists every job, everywhere. From our launch in the UK in 2011, we now have tens of millions of visitors a month and are busy conquering the world from our HQ in West London alongside our remote teams - helping millions of people find better, more fulfilling jobs. We already have a suite of AI-powered tools (such as ValueMyCV, Prepper and ApplyIQ) built by our talented team and their passion for building new AI-powered tech for job seekers. We're a commercially minded team that moves fast, takes ownership and loves what we do. About the Role This is a fantastic opportunity for a talented Junior Python Developer to join our fast moving AI & Innovation Team. You will play a vital role in building and maintaining our full stack - scaling robust backend services, while developing the user facing web components that power our cutting edge AI products and jobseeking tools. You’ll be working in a tight knit, cross-functional team alongside Product Managers, Data Scientists and Senior Engineers. This is a high growth role where you will learn how to transition machine learning prototypes into robust, production ready applications for millions of users, while simultaneously honing your coding, frontend and architecture skills. What You'll Do Fullstack Development: Write clean, testable, and efficient Python code to support our core AI products and automated search and apply tools. Model Integration: Collaborate closely with our Data Scientists to integrate machine learning models, LLM pipelines and agentic frameworks into our live production stack. API & Data Pipelines: Build and maintain scalable APIs and data workflows to handle large volumes of job vacancy data. Infrastructure & DevOps: Help manage and optimise our AWS infrastructure, ensuring high availability and smooth deployment processes. Testing & Quality: Write robust unit and integration tests to ensure system reliability and mitigate deployment risks. Tech Stack Includes Languages & Frameworks: Python, Spark, LLMs & LLM coding tools Frontend: React, HTML, CSS (Tailwind) AWS Ecosystem: EC2, S3, Lambda, Step Functions, RDS, Athena, Kinesis Databases & Search: PostgreSQL, MySQL, SOLR While we look out for all of these skills, we do not expect experience in all of them. We value a strong foundation in core programming principles and a genuine eagerness to learn. Experience: 1–2 years of commercial software development experience using Python Location: Fully remote (must be located within a 2-hour timezone of London and able to work standard UK business hours). Right to Work: This is a long-term role structured via a contractor agreement for international remote compliance. Candidates must have the legal right to work remotely as an independent contractor in their country of residence. We are unable to provide visa sponsorship for this position now or in the future. Communication: Professional proficiency in English (both written and verbal) to collaborate effectively with a global team. Education: A technical degree (2:1 or equivalent) in Computer Science, Software Engineering, or a highly relevant field. Core Coding Skills: Solid understanding of Python fundamentals and object-oriented programming. Execution: Record of writing clean, maintainable Python code into live, user-facing environments. Databases: Good working knowledge of SQL and relational databases. Cloud & Tools: Familiarity with AWS services and Git version control. Mindset: A curious, proactive fast learner who loves solving technical puzzles and is excited by the AI/ML space. Nice to have Frontend Coding Skills: Familiarity with HTML, CSS (Tailwind) and React to assist in building fullstack user interfaces. AI Applications: Experience with coding LLMs into production applications, and effectively utilising LLM coding tools in your daily workflow. Browser Automation: Understanding of web scraping techniques, DOM parsing, and bypassing common bot-detection. Experience with browser automation and testing tools (e.g. Playwright, Selenium). Portfolio: An active GitHub profile showcasing examples of your work, or personal projects.

Remote, Remote, Remote Role Overview: We’re looking for a ML Developer to drive the design, development, and delivery of advanced machine learning solutions. The ideal candidate is not just a strong individual contributor but also a technical leader capable of setting direction, mentoring team members, and ensuring that ML initiatives align with business goals. Competitive ML experience (e.g., Kaggle, benchmarks) is a strong plus. What does day-to-day look like: Own end-to-end DS/ML solution development — from data pipelines and model design to deployment and monitoring. Translate business objectives into robust ML architectures that accurately capture business logic and context. Collaborate cross-functionally with Product, Engineering, and Business stakeholders to define problem statements and success metrics. Evaluate and optimize models for performance, scalability, and accuracy using state-of-the-art techniques. Stay current with advancements in AI/ML research and apply relevant innovations to improve outcomes Required Qualifications: Bachelor’s or Master’s degree in Computer Science, Machine Learning, AI, Statistics, or a related quantitative field. 4+ years of hands-on DS/ML development experience, Proficiency in key DS/ML areas and frameworks:Supervised and Unsupervised Learning Time-Series Forecasting Natural Language Processing (NLP) Computer Vision (CV) Statistical Modeling and Inference Expertise in Python and core libraries (Pandas, NumPy, Scikit-learn, etc.). Ability to understand and apply different models to real-world use cases Strong understanding of data preprocessing, feature engineering, model tuning, and evaluation metrics. Proven ability to design scalable, production-grade ML systems. Preferred Qualifications: Proven expertise in Deep learning (e.g., convolutional neural networks, recurrent neural networks, transformers). Experience with cloud data platforms (Databricks, AWS, etc.) Hands-on experience with PySpark and Databricks Platform Stay up-to-date with the latest advancements in machine learning and artificial intelligence. Bonus: Experience and knowledge in Kaggle competitions and Benchmarks, such as MLEBench Experimenting with new technologies and frameworks based on Research papers published in top conferences and journals Perks of Freelancing With Turing: Work in a fully remote environment. Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST. (We have 3 options of time commitment: 20 hrs/week, 30 hrs/week or 40 hrs/week) Employment type : Contractor assignment (no medical/paid leave) Duration of contract : 3 month; [expected start date is next week] Location : India, Pakistan, Nigeria, Kenya, Egypt, Ghana, Bangladesh, Turkey, Mexico Evaluation Process (approximately 75 mins) : Two rounds of interviews as follows:Interview 1: Technical, 60 mins Interview 2: Onboarding & cultural discussion, 15 mins

Remote, Remote, Anywhere Job Description Job Title: Python Developer Job Type: Contract Location: Remote Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Key Responsibilities: Design, develop, and optimize REST and GraphQL endpoints for scalable APIs. Drive data validation, error handling, and security best practices within backend services. Plan and execute database migrations, optimizations, and schema changes as needed. Actively test new AI-powered models in Cursor, providing actionable feedback via incident reports, bug traces, and screenshots. Participate in 4-day intensive testing bursts, exploring how AI models impact real coding workflows. Engage thoughtfully with the research team in a dedicated Slack channel to discuss findings and propose improvements. Submit detailed post-burst surveys, delivering insights on model performance and developer experience. Required Skills and Qualifications: 3+ years of professional experience as a backend developer, with strong expertise in Python. Proficient in building and maintaining RESTful and GraphQL APIs. Advanced understanding of backend data validation, error handling, and API security. Hands-on experience with database migrations, performance tuning, and schema design. Extensive use of AI tools for coding; familiarity with Cursor is highly desirable. Outstanding written and verbal communication skills, with a knack for clear incident and bug reporting. Proven ability to thrive in fast-paced, confidential, and collaborative remote environments. Preferred Qualifications: Visible contributions to open source (e.g., GitHub stars or contributions). Experience designing or evaluating experimental tooling and developer workflows. Demonstrated enthusiasm for AI advancements in software development.

Glasgow, Scotland, United Kingdom THE OPPORTUNITY You will build and own the modelling-and-learning capability at the heart of LumiAIres: the simulation, encoding–decoding, and machine-learning layer that makes light compute. This is a durable company function: the digital twins, encoding schemes, and readout models you build become reusable assets across every product generation and customer programme. Your immediate focus is our current flagship programme, LUMINA, which leads the high-fidelity digital twin and encoding–decoding scheme, turning the twin into the customer-facing pre-evaluation environment that lets integrators assess our technology before silicon is in hand. Our photonic core behaves as a physical computing medium. Your job is to model how light computes inside it and to train the models that read the answer out. You will work closely with the Integrated Photonics Lead on physical validity, with our academic partners on encoding–decoding, with the Applied Photonics Engineer on validating predictions against measured silicon, and with the Full-Stack Software Engineer on productising the twin. You are the bridge between physics and learning, modelling how light computes inside our photonic core, and training the models that read the answer out. As we scale, this role can grow into ownership of LumiAIres' modelling and machine-learning function and the team behind it. CONTRACT & PROGRESSION CONTRACT TYPE: 18-Month Fixed Term Contract LOCATION: Glasgow, Scotland (Hybrid) SALARY: TBC per annum REPORTS TO: CTO (currently the CEO) POTENTIAL FOR PERMANENT ROLE: Yes — Glasgow or Paris (determined within the first 12 months) START DATE: To be agreed This role is offered initially as an 18-month Fixed Term Contract based in Glasgow. Given the portable nature of the modelling work, the permanent position offers location flexibility as the company scales. WHY LUMIAIRES Work at the frontier of photonic AI, technology with the potential to reshape how the world processes information. A founding team with deep expertise in photonics, neuromorphic computing, and commercial strategy. Exposure to global investors, strategic partners, and government stakeholders from day one. A genuinely values-led company building for the long term. Flexible, trust-based culture with real ownership and impact. HOW TO APPLY To express interest in this role, please send a CV and a short covering note describing your background in optical or photonic simulation and machine learning, any modelling or digital-twin work you have delivered, and what draws you to photonic computing. Applications and initial conversations are treated in strict confidence. KEY RESPONSIBILITIES The role is structured around four core pillars: Photonic & Optical Simulation Model the photonic core and full signal chain using established optical-simulation and numerical wave-propagation methods. Build, maintain, and validate the high-fidelity digital twin of the photonic processor. Quantify how design and fabrication choices affect computational behaviour, feeding insight back to the photonic design team. Encoding, Decoding & Core Behaviour Design and optimise input encoding and output decoding schemes for the photonic platform. Characterise how the photonic core behaves as a physical computing medium. Co-own encoding–decoding optimisation with our academic partners. Machine Learning & Readout Develop the readout models and associated training pipelines. Build the learning loop that improves inference over time and feeds our software tools. Optimise the mapping of machine learning inference onto the photonic hardware. Customer-Ready Twins & Validation Harden the digital twin into a pre-evaluation environment that integrators can run, with the Full-Stack Software Engineer and the Strategic Partners Lead. Validate twin predictions against measured silicon in partnership with the Applied Photonics Engineer. WHAT WE ARE LOOKING FOR A strong computational scientist or engineer with an advanced degree (MSc or PhD) in applied mathematics, computational or theoretical physics, electrical engineering, computer science, or a related quantitative field. Strong optical and photonic simulation skills, including transfer-matrix and numerical wave-propagation methods (or equivalent). A grounding in practical machine learning — model training, evaluation, and pipeline development (Python; NumPy / SciPy and PyTorch / JAX or similar). Strong scientific software practice and the ability to turn physics into validated, maintainable code. Familiarity with photonic neural networks, optical, or neuromorphic computing is a strong advantage. Experience with digital-twin or hardware-in-the-loop modelling, active-learning methods, or working alongside experimental and academic teams is welcome. Comfort in an early-stage, fast-moving environment where structure is built, not inherited.

Remote, Remote, Remote Role Overview: This position is within a project with one of the foundational LLM companies. The goal is to assist these foundational LLM companies in enhancing their Large Language Models. One way we help these companies improve their models is by providing them with high-quality proprietary data. This data serves two main purposes: first, as a basis for fine-tuning their models, and second, as an evaluation set to benchmark the performance of their models or competitor models. For example, for SFT data generation, you might have to put together or be provided a prompt which contains provided code and questions, you will then provide the model responses, and write corresponding Python code to solve the questions. For RLHF data generation, you may need to create a prompt yourself or use one provided by the customer, ask the model questions, and evaluate the outputs generated by two versions of the LLM. You'll compare these outputs and provide feedback, which is then used to fine-tune the models. Please note that this role does not involve building or fine-tuning LLMs. What does day-to-day look like: Design, develop, and maintain efficient, high-quality Python code to train and optimize AI models. Conduct evaluations (Evals) to benchmark model performance and analyze results for continuous improvement. Familiarity with Python frameworks and libraries Evaluate and rank AI model responses to user queries across diverse domains, ensuring alignment with predefined criteria. Develop comprehensive explanations and rationales for evaluations, showcasing excellent reasoning and technical expertise. Lead efforts in Supervised Fine-Tuning (SFT), including creating and maintaining high-quality, task-specific datasets. Collaborate with researchers and annotators to execute Reinforcement Learning with Human * Feedback (RLHF) and refine reward models. Design innovative evaluation strategies and processes to improve the model's alignment with user needs and ethical guidelines. Create and refine optimal responses to improve AI performance, emphasizing clarity, relevance, and technical accuracy. Conduct thorough peer reviews of code and documentation, providing constructive feedback and identifying areas for improvement. Collaborate with cross-functional teams to improve model performance and contribute to product enhancements. Continuously explore and integrate new tools, techniques, and methodologies to enhance AI training processes. Requirements: 3+ years of strong experience with Python programming language. Industry experience and knowledge of code quality, formatting, and best practices of software development Experience with Python’s testing ecosystem, including unit, integration, and property-based testing. Knowledge of multi-threading and asynchronous programming in Python. Ability to work with architectural patterns and refactor code without introducing regressions. Strong debugging skills, including fixing memory and concurrency issues. Fluent in conversational and written English communication skills

100% Remote, USA Only Six Feet Up is seeking a seasoned Python/DevOps Engineer (100% remote, USA only) who can work across software development, architecture, cloud infrastructure, data, AI, and client collaboration. This role is for an experienced engineering generalist: someone with deep expertise who is not limited to one framework, platform, or layer of the stack. You are comfortable entering unfamiliar systems, clarifying ambiguous problems, and applying sound judgment where it creates the most value. You also understand that AI has changed software engineering. You use AI-assisted development tools to accelerate research, implementation, testing, documentation, and troubleshooting while remaining accountable for the quality, security, and correctness of the result. One project may involve modernizing a mature Python application. Another may require designing an API, building a data workflow, integrating AI capabilities, or improving cloud infrastructure and observability. This role is a strong fit for someone who is curious, pragmatic, collaborative, and ready to work on the problem that matters most. Apply online: https://sixfeetup.com/company/senior-python-developer-devops-engineer-us-only Strong candidates will have meaningful experience in several of the following areas: Python Django, Wagtail, FastAPI, Flask, or comparable frameworks REST, GraphQL, event-driven systems, and third-party integrations PostgreSQL and relational data modeling JavaScript or TypeScript and modern frontend frameworks Automated testing, code quality, and continuous integration Docker and containerized application development AWS, Azure, or another major cloud platform Kubernetes and cloud-native application delivery Infrastructure as code and deployment automation Integration of AI/ML capabilities into production systems AI-assisted development workflows Application performance, observability, and production troubleshooting Secure practices such as least-privilege access, secrets management, dependency management, and remediation of common application vulnerabilities Data ingestion, transformation, or processing workflows Authentication, authorization, SSO, and secure application design Legacy system modernization and incremental migrations As a Senior Python/DevOps Engineer, you will: Work with clients and teammates to understand business goals, user needs, constraints, and desired outcomes. Design and deliver secure, maintainable, well-tested software across application, data, integration, and infrastructure boundaries. Use AI tools responsibly to accelerate development while reviewing and validating generated code, tests, analysis, and recommendations. Rapidly evaluate emerging technologies and determine where they can improve delivery, quality, security, or developer productivity. Help evolve how the team uses AI for coding, testing, code review, documentation, debugging, estimation, discovery, and delivery. Work with delivery leads to turn unclear initiatives into practical, incremental technical plans. Identify architectural, security, privacy, performance, reliability, and delivery risks early. Contribute across the application stack, including backend services, APIs, databases, integrations, frontend applications, data workflows, and cloud infrastructure. Improve testing, deployment automation, observability, documentation, and developer workflows. You are an experienced software engineer who: Learns publicly by sharing findings, examples, warnings, and practical guidance with teammates. Can solve problems that cross traditional boundaries between development, data, infrastructure, and operations. Makes decisions based on client needs, project constraints, maintainability, risk, and long-term value. Communicates progress, uncertainty, risks, and blockers openly. Treats learning, experimentation, and technical reinvention as part of the job, not something reserved for spare time. Is energized by rapidly changing technology and comfortable replacing familiar workflows when a better approach emerges. Learns publicly by sharing discoveries, failures, limitations, and useful techniques with the team through demos, documentation, pairing, and technical discussions. You are successful when you: Understand our clients’ problems and aspirations. Proactively seek and provide actionable feedback from and to peers. Are reliable in delivering work and escalate issues quickly when needed. Promote best practices while following company methodologies to ensure quality and stability.

Remote (US Based), Any US State, US Fusionbox is a software engineering consultancy that builds enterprise software the right way. We negotiate the right to open source all our client code, maintain a handful of popular libraries, and our engineers contribute to Django core. We sponsor PyCon, DjangoCon, and Django Girls because we're invested in the ecosystem we build on. We're looking for software engineers who value software design, system architecture, and collaboration. You should be strong in most of these areas: web application security, relational database design (PostgreSQL query plans, indexes, and constraints, not whatever the ORM emits), Django internals, React, and distributed systems. What you'll actually work on: complex state machines for financial workflows, multi-tenant architectures with row-level security, custom database functions when the ORM isn't enough, and React frontends that handle real-time data without being a mess of useEffect race conditions. A note on how we work: we think deeply about the systems we build, and we believe understanding comes from doing the work yourself, not from handing it to a model. If you ship code you don't understand, we're genuinely not a fit, and that's fine. If that paragraph made you nod, we want to hear from you. We're a small team where you'll own features end-to-end (database design to React components) and have opportunities to shape technical decisions. You'll work with a team that practices empathy and values work-life balance. If you match these requirements and wish your job involved more variety and less bureaucracy, let's talk: info@fusionbox.com. 5 years of using Python pythonically 3 years of React Experience Django Experience Preferred US-Based Must be able to communicate complex technical concepts clearly and professionally in spoken English.

Victoria, Canada About SureSwift Capital SureSwift Capital is a private equity firm with a diversified digital portfolio, seeking a seasoned, front-end-leaning full-stack developer to build and modernize software across a portfolio of SaaS businesses. Our focus is transformation via AI enablement, and this role sits at the center of it: someone who thinks differently about how software gets built, leveraging AI as a core part of their workflow, not just a tool. About the Role The successful candidate will work across different web technology stacks as a true generalist, ramping quickly in unfamiliar environments and using AI to accelerate development, reduce friction, and ship high-quality features faster. They will own feature development end-to-end while maintaining the stability and performance of existing production systems. This role works closely with the cross-functional team and reports to the Portfolio Leader (or designate). The ideal candidate is a hands-on builder who is equally comfortable extending legacy production applications and shipping polished new features, with a genuine eye for how software looks and feels to the user. What You’ll Do Feature Development & Delivery Own feature development end-to-end, from UI design through backend implementation, QA, and deployment. Partner with the Portfolio Leader and business teams to prioritize and deliver features for existing applications. Build new features, fix bugs, and optimize performance across diverse tech stacks. Set and uphold a high bar for how things look and feel to the user. AI-Augmented Engineering Develop repeatable approaches and best practices for AI-assisted development. Own AI as a core part of the development workflow to accelerate delivery and reduce friction. Apply and champion AI-powered code generation and agentic tools (e.g., Claude Code, Cursor, Copilot) throughout the build process. Legacy Systems & Code Quality Take ownership of understanding and extending legacy production systems while maintaining stability and performance. Drive modernization of existing applications without disrupting customers. Establish robust test coverage, regression checks, and safe deployment workflows. What We Offer Flexible scheduling, focus on deliverables Extended health and dental benefits from day one Annual salary $140,000- $190,000 CDN We are a remote company and are filling this role in Canada. We have office space and hybrid work available for candidates located in Victoria, BC. We thank everyone for their consideration. What You Bring Required - Demonstrated experience with modern AI coding tools (especially agentic solutions like Claude Code) as a core part of the workflow. Product-First AI Mindset: Focus on business value, user experience, and applying use of development via models directly to solve practical end-user challenges. Experience modernizing and extending existing legacy production applications while maintaining stability. Proven track record of technically leading engineering workstreams, taking ownership of the development lifecycle, and mentoring junior-to-mid level developers. Proven history of delivering high-quality, maintainable software within production environments, emphasizing robust testing, rigorous security auditing, and proactive dependency management. Experience with modern frontend and backend technologies, including PHP, CodeIgniter, MySQL, JavaScript, jQuery, Bootstrap, Docker, and AWS. UI/UX design sensibility or formal design experience. Ability to communicate with executive leadership effectively on project status.

Remote, Argentina Our client is transforming the commercial real estate financing space. Backed by leading venture capital firms and financial institutions, they have built an AI-powered platform that connects brokers and borrowers with the most suitable lenders for their deals, automating the most time-consuming steps of the financing process. They are looking for a Senior Backend Python Engineer to join their engineering team and help scale their platform. Responsibilities: Write clean, scalable, and testable Python code. Maintain and improve the core Flask API and FastAPI microservices (including the AI Service and Email Service). Architect, design, and implement new features across the product roadmap. Collaborate closely with product, design, marketing, and engineering teams. Perform code reviews with teammates. Help define and document engineering best practices, testing, and CI/CD processes. Contribute to a culture of technical excellence, velocity, and collaboration. Participate in interviews and help improve the hiring process. Proven experience building Python APIs with Flask or FastAPI. Experience working in product companies or startups, ideally in fast-paced, growth-oriented environments. Strong ability to take business ideas from whiteboard to production. B.S. in Computer Science or equivalent experience. Must be based in Latin America; candidates based in Argentina are preferred. Nice to have: Experience with LLMs and building agentic AI applications. Experience with GraphQL. Experience with projects handling complex workflows. Previous experience in a high-growth company.

Hamburg, Germany ## Remote-friendly within Germany You'll join as our full-stack developer, working directly with Janek across backend systems, frontend, and data pipelines, and with Caspar on product strategy and design as features take shape. The product is live and running, and it's time to scale it, evolve it, and make it sing. This is early in the startup's journey: no hierarchies between you and the founders, fast communication instead of layers of approval, and priorities that shift quickly as the product and the market do. We communicate directly and expect the same in return, always with respect. Work when you work best, whatever hours suit you, as long as the output holds up; we care about getting things right, not about being seen at a desk. We aim to be a responsible company to work for, and the responsibility you get in return grows as the team grows. Strong Python skills with a focus on writing clean, well-structured, and consistent code Experience with Flutter, or solid frontend experience combined with a strong willingness to learn Flutter Comfortable working with large databases and complex datasets Based in Germany is a must Able to take ownership of open-ended problems: analyze the situation, evaluate different approaches, and ship the best solution. This role is about solving problems, not implementing perfectly specified requirements Interested in thinking beyond individual tasks. We're looking for someone who wants to understand the bigger picture, from our users' daily challenges to how every technical decision contributes to the product Hands-on experience with AI/ML (LLM agents, embeddings, recommendation systems, etc.) is a plus, but not required Comfortable using AI-assisted coding tools to increase productivity while maintaining a robust, sustainable codebase Enjoys working closely with a two-person founding team, with direct feedback, shared decisions, and no layers between you and what gets built Bonus: experience in startups and/or the music industry

Worldwide, Worldwide, Worldwide We are seeking a Senior Python Engineer who brings strong backend development expertise along with a solid grasp of cloud-native solutions. The right candidate will be capable of designing, building and maintaining scalable backend services through Python and modern cloud platforms. Countries : Argentina, Australia, Bulgaria, Canada, Chile, China, Colombia, Czech Republic, Greece, Hong Kong, Japan, Malaysia, Mexico,Romania, Singapore, Slovakia, Ukraine, USA, Vietnam Requirements Solid experience in Python backend development Familiarity with frameworks like FastAPI, Flask or Django Practical experience using AWS, Azure or GCP Proven background building REST APIs and microservices Sound knowledge of relational and/or NoSQL databases Exposure to CI/CD, testing and modern software engineering practices Excellent analytical and problem-solving abilities Nice to have Working knowledge of Docker and Kubernetes Background in serverless architectures Familiarity with data pipelines or event-driven architectures Understanding of Terraform or infrastructure as code We offer/Benefits Connectivity Bonus (25,000 ARS are paid with a salary receipt at the end of each month as a non-wages concept).

Remote in the United States, Colorado, United States Position Overview: MyOme is looking for an experienced and pragmatic individual to join our integrations and portal team. This position will help enable patients and providers to order testing and understand results, bringing clarity and ease of use to complex genetics results. The successful candidate will demonstrate knowledge of healthcare data and an eagerness to build value through fast prototyping and iteration. What You'll Do: Add new features to our backend systems to support portal enhancements Support integration partners through reusable feature builds Create test data to aid in the design and development of our systems Develop new APIs Contribute to the team through code reviews and design discussions Participate in agile development processes, including sprint planning, retrospectives, and continuous improvement Balance quick wins with long-term technical sustainability Location, Compensation, and Benefits: Location: Remote in the US Compensation: Annual base salary range is $160,000 - $200,000, based on experience What You'll Need: No specific degree prerequisite. If you can do the work well and humbly, we want to talk with you. 6+ years of software development experience 2+ years of healthcare/biotech experience Experience with HIPAA compliance and healthcare software, or other privacy-focused frontends Proven track record of building and deploying production-grade web applications Experience with CI/CD pipelines Comfortable in Python/Django Comfortable with designing APIs Preferable experience in genetics

Miami Shores, FL, United States Job Summary: In this role, you'll apply your expertise to help train next-generation AI systems. Your work will shape how models learn, reason, and perform through high-quality, real-world input. No prior experience in AI is required — your domain knowledge is what matters. Key Responsibilities: Design, develop, and optimize REST and GraphQL endpoints for scalable APIs. Drive data validation, error handling, and security best practices within backend services. Plan and execute database migrations, optimizations, and schema changes as needed. Actively test new AI-powered models in Cursor, providing actionable feedback via incident reports, bug traces, and screenshots. Participate in 4-day intensive testing bursts, exploring how AI models impact real coding workflows. Engage thoughtfully with the research team in a dedicated Slack channel to discuss findings and propose improvements. Submit detailed post-burst surveys, delivering insights on model performance and developer experience. Restrictions Telecommuting is OK Agencies are OK Requirements 3+ years of professional experience as a backend developer, with strong expertise in Python. Proficient in building and maintaining RESTful and GraphQL APIs. Advanced understanding of backend data validation, error handling, and API security. Hands-on experience with database migrations, performance tuning, and schema design. Extensive use of AI tools for coding; familiarity with Cursor is highly desirable. Outstanding written and verbal communication skills, with a knack for clear incident and bug reporting. Proven ability to thrive in fast-paced, confidential, and collaborative remote environments. Preferred Qualifications: Visible contributions to open source (e.g., GitHub stars or contributions). Experience designing or evaluating experimental tooling and developer workflows. Demonstrated enthusiasm for AI advancements in software development. About the Company micro1 matches companies with skilled, pre-vetted software developers worldwide.

Miami Shores, FL, United States Job Description We are seeking a Senior Python Engineer who brings strong backend development expertise along with a solid grasp of cloud-native solutions. The right candidate will be capable of designing, building and maintaining scalable backend services through Python and modern cloud platforms. Countries : Argentina, Australia, Bulgaria, Canada, Chile, China, Colombia, Czech Republic, Greece, Hong Kong, Japan, Malaysia, Mexico,Romania, Singapore, Slovakia, Ukraine, USA, Vietnam Solid experience in Python backend development Familiarity with frameworks like FastAPI, Flask or Django Practical experience using AWS, Azure or GCP Proven background building REST APIs and microservices Sound knowledge of relational and/or NoSQL databases Exposure to CI/CD, testing and modern software engineering practices Excellent analytical and problem-solving abilities Nice to have Working knowledge of Docker and Kubernetes Background in serverless architectures Familiarity with data pipelines or event-driven architectures Understanding of Terraform or infrastructure as code We offer/Benefits Connectivity Bonus (25,000 ARS are paid with a salary receipt at the end of each month as a non-wages concept).

Miami Shores, FL, United States Job Description Role Overview: This position is within a project with one of the foundational LLM companies. The goal is to assist these foundational LLM companies in enhancing their Large Language Models. One way we help these companies improve their models is by providing them with high-quality proprietary data. This data serves two main purposes: first, as a basis for fine-tuning their models, and second, as an evaluation set to benchmark the performance of their models or competitor models. For example, for SFT data generation, you might have to put together or be provided a prompt which contains provided code and questions, you will then provide the model responses, and write corresponding Python code to solve the questions. For RLHF data generation, you may need to create a prompt yourself or use one provided by the customer, ask the model questions, and evaluate the outputs generated by two versions of the LLM. You'll compare these outputs and provide feedback, which is then used to fine-tune the models. Please note that this role does not involve building or fine-tuning LLMs. What does day-to-day look like: Design, develop, and maintain efficient, high-quality Python code to train and optimize AI models. Conduct evaluations (Evals) to benchmark model performance and analyze results for continuous improvement. Familiarity with Python frameworks and libraries Evaluate and rank AI model responses to user queries across diverse domains, ensuring alignment with predefined criteria. Develop comprehensive explanations and rationales for evaluations, showcasing excellent reasoning and technical expertise. Lead efforts in Supervised Fine-Tuning (SFT), including creating and maintaining high-quality, task-specific datasets. Collaborate with researchers and annotators to execute Reinforcement Learning with Human * Feedback (RLHF) and refine reward models. Design innovative evaluation strategies and processes to improve the model's alignment with user needs and ethical guidelines. Create and refine optimal responses to improve AI performance, emphasizing clarity, relevance, and technical accuracy. Conduct thorough peer reviews of code and documentation, providing constructive feedback and identifying areas for improvement. Collaborate with cross-functional teams to improve model performance and contribute to product enhancements. Continuously explore and integrate new tools, techniques, and methodologies to enhance AI training processes. Requirements: 3+ years of strong experience with Python programming language. Industry experience and knowledge of code quality, formatting, and best practices of software development Experience with Python’s testing ecosystem, including unit, integration, and property-based testing. Knowledge of multi-threading and asynchronous programming in Python. Ability to work with architectural patterns and refactor code without introducing regressions. Strong debugging skills, including fixing memory and concurrency issues. Fluent in conversational and written English communication skills

Anywhere, Anywhere, USA The Role You'd be joining a lean, high-leverage engineering team tackling the complexity of legal software — not by pushing longer hours, but by getting genuinely good at working alongside AI. This isn't a "we occasionally use ChatGPT" team. The group is actively figuring out how to hand repetitive engineering work to AI so people can spend their time on the problems that actually need human judgment. If you like tight feedback loops and think of AI as a real engineering collaborator rather than a novelty, this is that kind of team. Compensation, Benefits & Culture Founded by two repeat entrepreneurs who set out to build a company without the usual startup burnout culture — their previous venture picked up multiple workplace-quality awards. The team protects: A sustainable pace Long stretches of uninterrupted deep work A light meeting calendar Comp: USD $135,000 - $185,000 DOE, equity grant appropriate to the role, standard ~40-hour week. Benefits: Fully remote — work from anywhere Medical, dental, and vision for you and your family Annual stipends toward learning/development and personal wellness Retirement plan with an employer contribution regardless of what you personally contribute Flexible PTO (vacation, sick time, holidays) Paid parental leave for either parent What You'll Do Help push the engineering org toward an AI-native way of building software Keep improving internal dev workflows — using AI to ship faster, automate regression coverage, and hold the line on code quality Design, build, ship, and support full-stack systems end to end Work cross-functionally to deliver complete solutions spanning AI, modern web tooling, data stores, and backend platforms Write code that's scalable, reusable, and easy for the next person to maintain Make sure what you ship works well across browser and mobile Build automated test coverage into new work as you go, not after Take part in the on-call rotation Partner with architects and peers on system design, dependency choices, and long-term maintainability Split time between new feature work and keeping existing systems healthy Communicate clearly with non-engineering stakeholders Mentor more junior engineers and help set technical direction What We're Looking For 7+ years of professional, commercial software development — shipping, deploying, maintaining, and debugging real production systems — plus: A track record of actually improving how a team ships software using modern AI tooling (not just personal productivity hacks) Hands-on experience with AI coding agents (e.g., tools like Claude Code, Codex, or similar) as part of your regular workflow Experience pointing AI tooling at large-scale refactors, modularization, and code analysis Solid Python / Django experience Solid React experience GraphQL experience (Apollo Client and/or Relay) Comfort writing real unit test coverage Nice to Have AWS, Docker, Terraform MongoDB, PostgreSQL Git Experience with third-party integrations — things like O365, DocuSign, generic REST APIs, Salesforce, SAML 2.0, or Zapier Exposure to monitoring/alerting tooling Who Does Well Here Sharp analytical and problem-solving instincts Real curiosity about LLMs and AI-assisted engineering — not just tolerance for it Comfortable with shifting priorities and some ambiguity Cares about the end-user experience, not just the code Self-directed, high agency, high accountability Takes pride in the craft and welcomes feedback Communicates and documents clearly Genuinely curious, always picking up new tools Operates with integrity and sound judgment

Hyderabad, Telangana, India We are hiring a Python Backend Engineer to take ownership of high-throughput backend services. You will work alongside our front-end and C# application teams to build the infrastructure that ingests, processes, and routes real-time data streams across our platforms. This role is for someone who enjoys asynchronous Python, complex data-flow problems, and the discipline of building production systems that need to run reliably under sustained load. Experience: 4+ years of professional backend software engineering experience, primarily in Python. Asynchronous Python: Strong working knowledge of asyncio and concurrent programming patterns for high-throughput I/O. API Frameworks: Production experience with FastAPI (or comparable async frameworks such as Starlette, aiohttp, or Sanic) and pydantic-based schema validation. Message Brokers: Hands-on experience with at least one event streaming or message broker platform — Apache Kafka, RabbitMQ, NATS, or equivalent. Databases: Proficient with PostgreSQL and capable of writing optimized SQL; comfortable with schema design, indexing, and query profiling. Time-Series Data: Working familiarity with time-series databases (e.g., TimescaleDB, InfluxDB, QuestDB) and the trade-offs of heavy-write workloads. Networking: Solid grasp of TCP/UDP, WebSockets, and HTTP/REST; able to debug at the protocol level when needed. Platform & Tooling: Comfortable Git-based workflows. Testing & Quality: Demonstrated practice with pytest, unit and integration testing, and CI pipelines.

Panama City Beach, Florida, United States Join Softech Associate to build and ship real software for our clients. We are looking for engineers with strong fundamentals and excellent communication who want to grow on a remote-first team. What we're looking for Strong foundational knowledge of computer science and software engineering Comfort with data structures, algorithms, system design, and clean coding principles Ability to explain technical concepts clearly and logically Advanced-level English communication skills Confidence and clarity when reasoning through technical problems Responsibilities Build and maintain real client projects across the stack Participate in system design discussions and coding tasks Collaborate in mock interviews and technical discussions to grow as a team Communicate progress and trade-offs clearly with the team and clients Write clean, tested, maintainable code Preferred technical background Frontend React · Next.js · TypeScript · JavaScript Backend Node.js · Python · FastAPI · Flask · Express Databases PostgreSQL · MongoDB · MySQL Cloud AWS · Azure · GCP Experience with AI tools, LLMs, or modern developer platforms is a plus.

Remote, Remote/Worldwide, Remote/Worldwide Evaboot turns LinkedIn Sales Navigator searches into clean, verified prospecting lists. Demo: https://www.youtube.com/watch?v=khYgyDlo2Iw We are bootstrapped, $2.2M+ ARR, a team of 5, and remote since day one. What we are doing: building self-improving loops and agentic products. Agentic products you will work on: SDR agent (Sales Navigator agent, emailing outreach agent) Self-improving loops you will build: Coding Support SEO & content Analytics Company-wide systems (memory, tooling) You will work directly with the co-founder & CEO. What is guaranteed: an intense execution pace and an exponential learning curve. A zero-nonsense environment, focused mostly on results and KPIs. Autodidacts are welcome. Two weeks maximum from apply to reply. Compensation: $70,000 - 120,000 USD. Full-time, 100% remote. Strong Python engineering Power user of agentic coding Bonus points: AWS Agentic plumbing & observability

Katy, TX, United States Backend Software Engineer (API-focused) Katy, Texas (full-time onsite) Compensation: $110,000 - $120,000 annually Reports to: Software Engineering Manager Visa Sponsorship: Not Available Would you like to be a key member of the development team supporting hundreds of law enforcement agencies across the United States? Are you driven to produce high quality software that makes an impact to our society? Off Duty Management is the leading provider of off duty program solutions to law enforcement agencies and first responders across the United States. We provide the best possible service, protection, and administrative support to the sworn officers of our valued partner agencies. We're building OfficerTRAK, a SaaS platform that our customers depend on, and the API layer is the backbone connecting our Angular web front end, native iOS and Android apps, and internal services. We're looking for a mid-level Backend Software Engineer to help design, build, and maintain the FastAPI microservices that power our product. You’ll work across the full lifecycle of a service — from schema and endpoint design, through implementation and testing, to deployment and monitoring in production on AKS. You'll write asynchronous background jobs with Celery, design and optimize PostgreSQL schemas and queries, and build in the authentication, authorization, and security practices our platform depends on. This role suits someone who has shipped production-grade FastAPI services before, cares about test coverage and code quality, and wants real ownership over how our APIs are designed, secured, and scaled. This position is based onsite in our Katy, Texas headquarters. Responsibilities Design and build production-grade FastAPI services — define clean, versioned RESTful API contracts, request/response schemas (Pydantic), and service boundaries within our microservice architecture. Own data modeling and query design — design normalized, performant PostgreSQL schemas, write and optimize SQL queries, and manage migrations (e.g., Alembic) as services evolve. Build reliable asynchronous workflows — design and maintain Celery tasks and queues for background processing, retries, and scheduled jobs. Ship and operate services on our Azure/Kubernetes platform — containerize services, deploy to AKS, and troubleshoot issues in a live production environment. Build in authentication, authorization, and security from the start — implement OAuth2/JWT-based auth, role-based access control, and follow API security best practices (OWASP API Top 10, input validation, secrets management). Write meaningful, layered test coverage — unit, integration, and functional/end-to-end tests (pytest) that give the team confidence to ship quickly. Participate in code reviews and design discussions — give and receive thoughtful feedback and help shape API and data model decisions across the team. Instrument services for observability — add logging, metrics, and tracing so issues can be diagnosed quickly in production. Collaborate cross-functionally — partner with frontend, mobile, and DevOps engineers to define API contracts and keep services aligned with product needs. Contribute to CI/CD pipelines — help maintain automated build, test, and deployment workflows for the services you own. ***Immigration-related benefits (for example, visa sponsorship) are not available for this position. Off Duty Management is an equal opportunity employer. All applicants will be considered for employment without attention to race, color, religion, sex, sexual orientation, gender identity, national origin, veteran, or disability status. This Organization Participates in E-Verify. Required Skills and Qualifications 3+ years of professional backend software development experience, including production use of Python. Strong hands-on experience with FastAPI building production APIs. Solid understanding of relational database design, normalization, and SQL query optimization (PostgreSQL preferred). Experience with Celery or a comparable distributed task queue (e.g., RQ, Kafka consumers) for asynchronous processing. Experience deploying and operating services in Kubernetes, ideally on Azure (AKS). Practical experience writing unit, integration, and functional tests (pytest or similar) as part of the regular development workflow. Working knowledge of authentication and authorization standards (OAuth2, JWT, API keys, RBAC). Understanding of API security best practices (OWASP API Top 10, input sanitization, secrets management, rate limiting). Comfort with Git-based collaborative workflows (pull requests, code review, branching strategies). Familiarity with containerization (Docker) and CI/CD pipelines. Clear communication and a collaborative, ownership-driven approach to working with engineers. Preferred Skills and Qualifications Experience with Azure-specific services (Azure Key Vault, Azure Container Registry, Azure Monitor / App Insights). Familiarity with API documentation tooling (OpenAPI/Swagger). Experience with message brokers supporting Celery (Redis, RabbitMQ). Experience with database migration tooling (e.g., Alembic). Exposure to observability stacks (Prometheus, Grafana, OpenTelemetry) and distributed tracing. Exposure to Infrastructure as Code (Terraform, Helm). Understanding of domain-driven design or broader microservice architecture patterns. Experience scaling APIs for a growing SaaS platform.

Poland, Lviv, Ivano-Frankivsk, Ternopil, Uzhhorod, Chernivtsi or Kyiv, Ukraine/Poland ABOUT PROJECT Our client is one of the leading financial services companies in the USA. The project focuses on developing a large-scale platform for financial data management, enabling secure storage, processing, and delivery of business-critical financial data. Offices to Apply in - Poland Ternopil Ivano-Frankivsk Lviv Kyiv Ukraine Krakow Chicago Las Vegas Argentina Croatia Uzhhorod Chernivtsi Zhytomyr Rivne Lutsk REQUIREMENTS 4+ years of commercial experience with Python Strong experience with Flask Experience building RESTful APIs and web services Experience with Java is a plus Experience with Snowflake or Snowpark is a plus Upper-Intermediate English or higher RESPONSIBILITIES Develop, test, and maintain reliable Python backend services and applications Design and implement new features in collaboration with cross-functional teams Build and integrate RESTful APIs using Flask Write clean, maintainable, and well-tested code Troubleshoot performance issues and resolve defects across development and production environments Participate in code reviews and contribute to engineering best practices Support application deployment, monitoring, and ongoing production maintenance Continuously improve the codebase, development processes, and technical solutions WHAT YOU WILL GET WITH ELEKS Close cooperation with a customer Challenging tasks Competence development Team of professionals Dynamic environment with low level of bureaucracy

Vilnius / Kaunas / Warsaw, Lithuania/Poland DevOps Engineer Threat Protection Full-time Hybrid Vilnius / Kaunas / Warsaw Learn & grow Boost your skills via our extensive training programs (online and offline) & other resources. Benefit from mentorship and career-switch opportunities to grow within the company. Work from anywhere Recharge with a change of scenery – choose work from any location when you feel a need to power your creativity and drive. Physical well-being Fuel your active lifestyle with online workouts led by our Physical Well-Being experts. Unlock a variety of sports and wellness facilities, like gyms, swimming pools, and fitness classes, with the Multisport card. Mental & emotional health Nurture your mind with free psychologist consultations, dedicated mental health events, and premium access to top-rated wellness apps like Calm, Headspace, and Mindletic. Premium healthcare Receive private health insurance giving you peace of mind for your health needs. Joyful moments – special treats Celebrate life’s big moments with special gifts from us on your birthday, anniversary, and other major events, such as weddings or the arrival of a new family member. Company events & team-building Experience iconic Nord Security celebrations, team-buildings, and knowledge-sharing events, nurturing bonds that fuel our success. Workation Embark on a legendary company getaway abroad, filled with exciting activities, live concerts, engaging workshops, and epic time together. Salary Range (Gross) €3.6K – €5.8K per month Main Responsibilities Collaborate with the Threat Protection development team to build and automate infrastructure for the product Write scripts to expand and maintain automated Code delivery and Release pipelines using Docker, Gitlab CI, AWS Help build frameworks for automated unit/integration/E2E tests, as well as setting up various virtual test environments/services Design and manage infrastructure for a multi-tenant distributed environment Assist with service migration to and within cloud environments (S3, EC2, EMR, Kubernetes) Ensure the application of best practices including but not limited to security, availability, and observability of the infrastructure. Core Requirements Experience as a DevOps, System or Infrastructure Engineer or a similar engineering role Proficiency with Linux systems and tools; knowledge of Windows administration strongly appreciated Working knowledge of Git and Git workflows Experience with scripting languages (e.g. Shell, Bash, Python, etc.) Experience implementing CI/CD principles, understanding of build systems and tooling (preferably Make, CMake, Conan, Ninja) Understanding of software composition principles: compilation, linking, loading of binaries and dependency management in major operating systems Knowledge of virtualization and containerization principles Experience working with cloud technologies and tooling: Configuration as code (Ansible, Terraform), Dockerization, EKS/Kubernetes Ownership mindset around your work and a desire for understanding of how systems interact including those outside your immediate area of expertise Critical thinking with a high degree of professionalism, flexibility, and attention to detail. What We Offer Innovate with industry leaders Work alongside global experts to build world-leading cybersecurity tools, impacting millions of users around the world.

Remote, Remote, Worldwide Evaboot | Agentic Python Engineer | REMOTE | Full-time | $70-120K USD Evaboot turns LinkedIn Sales Navigator searches into clean, verified prospecting lists. Demo: https://www.youtube.com/watch?v=khYgyDlo2Iw Bootstrapped, $2.2M+ ARR, team of 5, remote since day one. What we're doing: building self-improving loops and agentic products. Agentic products you'll work on: SDR agent (sales navigator agent, emailing outreach agent). Self-improving loops you'll build: coding, support, SEO & content, analytics, and company-wide systems (memory, tooling). You will work directly with me (co-founder & CEO). Requirements: strong Python engineering, power user of agentic coding. Bonus points: AWS, agentic plumbing & observability. What's guaranteed: intense execution pace & exponential learning curve. Zero bullshit environment, we focus mostly on results and KPIs. Autodidacts are welcome. Two weeks maximum from apply to reply. Apply right here: https://forms.gle/NM9BLJyuS8FNitYc8 Requirements: strong Python engineering, power user of agentic coding.

Remote (within 2 hours of London timezone), Remote Contract type: Contractor Contract hours: Full-time Location: Remote (within 2 hours of London timezone) Salary: €60k - €70k About Adzuna Adzuna is a job search engine that lists every job, everywhere. From our launch in the UK in 2011, we now have tens of millions of visitors a month and are busy conquering the world from our HQ in West London alongside our remote teams - helping millions of people find better, more fulfilling jobs. We already have a suite of AI-powered tools (such as ValueMyCV, Prepper and ApplyIQ) built by our talented team and their passion for building new AI-powered tech for job seekers. We're a commercially minded team that moves fast, takes ownership and loves what we do. About the Role This is a fantastic opportunity for a high-impact Senior Python Developer and Tech Lead to join our fast-moving team. In this pivotal leadership role, you will work closely with our Head of Tech/AI coding to migrate this team and the technology they own to a single, high-performing team working on our new Python-based platform using Agentic AI coding techniques. You will provide technical stewardship across our full stack, architecting robust backend services and guiding the development of cutting-edge AI products. Working alongside Product Managers and Data Scientists, you will lead the transition of machine learning prototypes into production-ready applications for millions of users, while mentoring engineers and driving the long-term technical strategy for our AI-powered tools. What You'll Do Technical Leadership & Mentorship: Act as a tech lead in one of our tech teams, unifying disparate development silos and fostering a culture of excellence through code reviews, architectural guidance, and mentorship of a small team of engineers. Architectural Stewardship: Lead the design and implementation of scalable backend API endpoints and LLM pipelines, ensuring the seamless integration of agentic frameworks into our production stack. Data Strategy: Architect high-throughput data pipelines to move clean, processed data between databases and user interfaces, maintaining system integrity and performance. Infrastructure & Security: Engineer secure infrastructure for user authentication, session persistence, and memory caching while optimizing AWS environments for high availability. Strategic Execution: Drive the migration from legacy systems to our new Python stack, making critical decisions on maintenance mode vs. new development to maximize business value. Tech Stack Includes Languages & Frameworks: Python, Spark, LLMs & LLM coding tools Frontend: React, HTML, CSS (Tailwind) AWS Ecosystem: EC2, S3, Lambda, Step Functions, RDS, Athena, Kinesis Databases & Search: PostgreSQL, MySQL, SOLR While we look out for all of these skills, we do not expect experience in all of them. We value a strong foundation in core programming principles and a genuine eagerness to learn. What We're Looking For Experience: Extensive commercial software development experience with a focus on Python, including a proven track record in technical leadership or lead developer roles. Location: Fully remote (must be located within a 2-hour timezone of London and able to work standard UK business hours). Right to Work: This is a permanent, long-term role structured via a contractor agreement for international remote compliance. Candidates must have the legal right to work remotely as an independent contractor in their country of residence. We are unable to provide visa sponsorship for this position now or in the future. Communication: Professional proficiency in English (both written and verbal) to collaborate effectively with a global team. Education: A technical degree (2:1 or equivalent) in Computer Science, Software Engineering, or a highly relevant field. Core Coding Skills: Strong understanding of Python fundamentals and object-oriented programming. Execution: Record of writing clean, maintainable Python code into live, user-facing environments. Databases: Strong expertise in MySQL and/or PostgreSQL and relational databases. Cloud & Tools: Familiarity with AWS services and Git version control. Strategic Mindset: A results-driven thinker who focuses on commercial outcomes and can serve as a subject matter expert for senior leadership regarding the Python ecosystem and AI/ML frameworks. AI Applications: Experience with coding LLMs into production applications, and effectively utilising agentic AI coding in your daily workflow. Nice to Have Frontend Coding Skills: Familiarity with HTML, CSS (Tailwind) and React to assist in building fullstack user interfaces. Browser Automation: Understanding of web scraping techniques, DOM parsing, and bypassing common bot-detection. Experience with browser automation and testing tools (e.g. Playwright, Selenium). Portfolio: An active GitHub profile showcasing examples of your work, or personal projects.

Remote, Remote/Worldwide, Remote/Worldwide, Remote Evaboot turns LinkedIn Sales Navigator searches into clean, verified prospecting lists. Demo: https://www.youtube.com/watch?v=khYgyDlo2Iw We are bootstrapped, $2.2M+ ARR, a team of 5, and remote since day one. What we are doing: building self-improving loops and agentic products. Agentic products you will work on: SDR agent (Sales Navigator agent, emailing outreach agent) Self-improving loops you will build: Coding Support SEO & content Analytics Company-wide systems (memory, tooling) You will work directly with the co-founder & CEO. What is guaranteed: an intense execution pace and an exponential learning curve. A zero-nonsense environment, focused mostly on results and KPIs. Autodidacts are welcome. Two weeks maximum from apply to reply. Compensation: $70,000 - 120,000 USD. Full-time, 100% remote. Strong Python engineering Power user of agentic coding Bonus points: AWS Agentic plumbing & observability

Remote, United States of America We are looking for a part-time software engineer to help implement a proof of concept for an experimental decentralized, censorship-resistant networking protocol. The network architecture and protocol design are already substantially defined. Your job will be to translate that design into a working Python implementation, make implementation-level engineering decisions, and help identify problems that emerge during testing. The objective is a functional proof of concept, not a production-ready implementation. The work primarily involves Python, peer-to-peer networking, asynchronous/concurrent programming, and applied cryptography. Experience implementing network protocols, peer-to-peer systems, or distributed systems is a plus but not required. This is not a cryptocurrency, NFT, or Web3 project. Approximately 20 hours per week at $20 USD/hour. The initial proof-of-concept effort is expected to last approximately four months. Strong Python programming skills. Good understanding of networking and network protocols. Familiarity with asynchronous or concurrent programming. Working knowledge of applied cryptography and standard cryptographic primitives. Ability to independently reason through, implement, and debug systems. Use of generative AI or AI coding assistants for project work is not permitted.

Birmingham, United Kingdom We’re looking for a Django Developer to join our team and strengthen our support and delivery capacity across a growing portfolio of partner work. For this particular role we’re looking for someone with strong Django experience, and knowledge of Wagtail would be ideal too. You’ll be joining our Partner Success team as a technical contributor, responsible for maintaining and delivering solutions that support our SLA (Service Level Agreement) and retainer-based partners. This role combines hands-on development work with a strong focus on reliability, responsiveness, and technical partnership - prioritising uptime, speed of resolution, and consistent delivery for our partners. We’re looking for intelligent people with an eagerness to learn new things. As well as technical knowledge, we need someone who gets it - someone who is a natural problem solver, knows when to ask for support, and can turn messy incoming requests into calm, practical solutions. We’re not just code machines - we’re humans, so we need developers who collaborate, support, and work together to help the whole team succeed. This role suits someone who can combine solid backend development with technical leadership in process: helping a team deliver well without needing to formally manage it. We have a lot of clients / partners, and a lot of codebases. You won’t be working on the same project for months, but need to be confident about context switching, making sensible technical decisions, and working across multiple streams of work. The Role involves: Working with Python, Django, and Wagtail (our favourite CMS framework) Picking up and delivering backend development work across a range of partner projects and retainers with SLAs in place Sprint management - ensuring that sprint goals are met Supporting issue triage - helping to assess incoming requests, and picking up quick fixes to keep our partners happy Improving team processes around deployment, environments, release visibility, and technical handover Interacting with the partners we work with to help scope, plan, and sometimes directly respond to technical work Collaboratively working with project managers, designers, and other developers to deliver successful work as a team Reviewing other developers’ code to promote best practices and encourage co-operative learning Being able to adapt and integrate new technologies quickly, using new APIs and technologies as needed Taking non-technical requests and designing solutions which result in logical data structures, smooth user experiences, well tested code, and long-term code-base health We are looking for someone who… Has strong professional experience with Python and Django Enjoys working across multiple projects and codebases Can confidently work in existing systems, improve them, and make sensible technical decisions Is comfortable being a senior technical presence within a team, without needing formal line management responsibility Can help others learn through pairing, reviewing, explaining, and unblocking Is organised and comfortable with context switching Can communicate clearly with both technical and non-technical people Seeks working in an agency environment (albeit a not-for-profit one!) Enjoys the Zen of Python and ‘Pythonic’ code Is energised by working on projects for charities and non-profits Can balance the perfectionists-with-deadlines mantra of Django for the resource constrained third-sector Is big hearted and keen to make the world a better place Knows the importance of sharing skills and learning The following would be a bonus... Knowledge of Wagtail CMS Confidence with deployment workflows, release processes, and environment management DevOps awareness and confidence working close to infrastructure, even if not a full-time DevOps specialist Some front-end confidence, enough to handle simpler changes where useful Experience supporting or maintaining long-running partner relationships through ongoing technical work Experience with React Native or willingness to learn enough to support adjacent app work

Remote, Worlwide, Worldwide We are looking for highly skilled Machine Learning Experts to contribute to an AI training project involving model development, training and inference systems, numerical computing, performance optimization, and Python. The work involves creating, solving, reviewing, and validating challenging machine-learning engineering tasks. A representative task may require implementing or modifying a model, constructing a reproducible training or inference workflow, optimizing memory or throughput, debugging numerical or system-level failures, and verifying that the resulting implementation satisfies objective correctness and performance requirements. This role is designed for experienced ML engineers and researchers who understand the systems beneath high-level APIs. Candidates should have meaningful practical experience with multiple tools from the modern ML stack and be able to explain what they personally built, optimized, or operated. What You’ll Work On Develop and validate machine-learning models, training pipelines, inference systems, and supporting infrastructure. Implement model components, data pipelines, evaluation systems, and numerical methods. Build reproducible programmatic workflows using Python and command-line tools. Work with tensor operations, automatic differentiation, model architectures, tokenization, batching, and generation. A master’s degree or PhD in Computer Science, Machine Learning, Artificial Intelligence, * Applied Mathematics, Statistics, Engineering, or a closely related quantitative discipline. Strong professional or research experience in machine learning. Practical proficiency with Python. Meaningful experience with at least two relevant ML frameworks, libraries, or inference tools. Strong understanding of model training, evaluation, numerical computation, or inference. Ability to debug ML systems beyond surface-level API usage. Ability to explain implementation decisions, performance trade-offs, and failure modes clearly. Experience building reproducible technical workflows. Relevant tools may include: PyTorch JAX NumPy and SciPy SGLang vLLM llama.cpp Hugging Face Transformers Hugging Face Tokenizers Equivalent tools may also be considered when the candidate demonstrates directly relevant depth. Experience at a well-established technology company, AI laboratory, research organization, or other recognized engineering environment is strongly preferred. Exceptional open-source or academic experience may also qualify. Process Apply to the role and complete the screening questions. Complete an AI interview of approximately 30 minutes. Complete the hiring manager review. Compensation Structure Compensation is output-based. Experts are paid per task that meets the project specifications. The time required to complete each task may vary depending on the expert’s experience and workflow.

Remote, Remote, Worldwide Gridnaut Recruiting is hiring a remote Software Engineer, Full Stack for a flexible hourly contractor engagement supporting a leading AI lab. This is a Python-forward full-stack role: Python is explicitly named as a core language for the position, alongside Java, Rust, C#, and C++. You will contribute to model-training support, evaluation, and structured task review while working across backend services, frontend (React), databases, and cloud systems. Work is fully remote, hourly, and flexible. Pay is $50–$65 per hour (USD), depending on experience and demonstrated skill. 3+ years of production software experience at a top-tier company Proficiency in Python; experience with Java, Rust, C#, or C++ is also relevant Working proficiency in a second listed language Full-stack experience including backend, frontend (React), databases, and cloud Availability for the engagement's required schedule, up to 40 hours per week Remote availability for an hourly contractor engagement

Remote (UK / EU), Remote (UK / EU), Remote (UK / EU) We're hiring a Senior Staff Engineer to lead a new three-person squad building product categories that don't exist at tem yet: deep integration into Rosso, pricing capability, and deal-risk tooling. This is a hands-on individual-contributor role, not people management. You design, build, and review the hardest parts of the system yourself, in Python, alongside the squad. The stack is production-grade Python throughout: services built on AWS Lambda and API Gateway, state and events handled with DynamoDB and EventBridge, all wired together as event-driven architecture. You will write Python daily, both for new product integrations and for the pricing and risk logic that sits behind them. Compensation: GBP 117,850 (or local equivalent) plus equity. Benefits include 25 days holiday plus your birthday off, a remote/wellbeing budget, and fully remote working with no internal meetings on Friday afternoons. Apply: https://jobs.ashbyhq.com/tem?utm_source=PythonOrg Requirements: Proven technical leadership at Staff or Senior Staff level, with evidence of leading ambiguous initiatives to real business impact Comfortable operating without a spec, shaping an undefined opportunity into something buildable Production experience with Python at scale, and fluency with AWS serverless services (Lambda, API Gateway, DynamoDB, EventBridge) Sound commercial judgement: able to reason about deal risk and revenue impact, not just delivery Track record leading a squad through technical direction and mentorship, without formal people-management responsibility Strong written and verbal communication with commercial stakeholders Bonus points: Experience in energy, fintech, or another regulated, high-stakes commercial domain Experience taking a product or company into a new international market Exposure to workflow orchestration or real-time pricing engines

REMOTE, REMOTE As a senior software engineer, you'll join a team tackling genuinely hard problems: distributed data processing at enterprise scale, complex deduplication algorithms, and systems that need to handle billions of records without breaking. The kind of challenges that require actual engineering thinking, not just tutorial-level code. Ready to tackle complex engineering challenges that impact how the world's largest companies manage their data? Very proficient with Linux at the terminal level Test-driven development (TDD) and pytest proficiency 7+ years Python experience Polars experience PostgreSQL expertise: schema design, optimization, advanced queries Familiarity with, and adherence to, PEP guidelines and Python coding standards RESTful API development and design best practices Scalable architecture design for high-volume data environments Security practices and vulnerability prevention Bug identification and resolution with local testing Thoughtful development centered around performance, deeply optimized code, and proper code organization Git version control with branching strategies English fluency (written/verbal) Cover letter requirement with specific opening line Previous experience working for a US-based company. Nice to have Experience with AWS (devops). Who we are NOT looking for Agencies People who are looking for a side “hustle” or are starting their own business Anyone with less than 7 years of experience If you are a fit for this position, please start your Cover Letter with I AM A SENIOR BACK END PYTHON ENGINEER WITH 7+ YEARS OF EXPERIENCE in all CAPS To be considered please fill out this form: https://forms.clickup.com/2257368/f/24wer-69717/12MWQYCOXQEFIYE71Y

Tallinn, Harju County, Estonia Location: USA & LATAM | Remote Employment Type: Contractor, Full-time What You’ll Do: Design, develop, and maintain backend services and RESTful APIs using Python, Flask, or FastAPI Build clean, maintainable, and scalable solutions following Python best practices and PEP8 Work with SQL databases, particularly PostgreSQL Develop unit and integration tests using Pytest Create and maintain API documentation using Swagger/OpenAPI, Insomnia, or similar tools Integrate Large Language Models (LLMs) and AI-powered functionality into backend applications Work with Git-based development workflows and participate in code reviews Debug, troubleshoot, and improve existing backend systems Contribute to CI/CD processes and development automation Collaborate with engineers and other team members in an Agile environment Communicate effectively with an international team in English What We Offer: Paid vacation and sick leave Equipment for comfortable work, if required 50% coverage of professional courses Competitive compensation based on your skills and experience Reliable and always-on-time payments A supportive international team Straightforward processes without unnecessary bureaucracy 100% remote, full-time cooperation What We’re Looking For: 2–3+ years of commercial Python development experience Strong knowledge of Python fundamentals Hands-on experience with Flask and/or FastAPI Experience developing and integrating REST APIs Practical experience with SQL databases; PostgreSQL is preferred Experience with unit and integration testing Familiarity with Docker Confident use of Git and Git-based development workflows Familiarity with code-quality tools such as PyLint, Flake8, or similar Experience or strong practical interest in integrating LLMs into backend applications Ability to work in Linux and/or Windows environments English level B2 or higher Strong problem-solving skills, attention to detail, and a proactive approach Ability to work independently and effectively within a distributed team Based in the USA or LATAM Nice to Have Experience with CI/CD pipelines, such as Jenkins or GitLab CI Experience with cloud platforms Familiarity with Kubernetes Experience with Jira, Crucible, or similar collaboration tools Previous hands-on experience integrating LLM APIs or AI-powered features

Remote, United States 3GIMBALS is seeking a Full-Stack Software Engineer with a strong front-end focus to help design, build, and deliver capabilities for OMEN™, our multi-domain data fusion and analytics platform. This role is ideal for an engineer with strong front-end development experience who is also comfortable working across the full application stack. The Full-Stack Software Engineer will build responsive, intuitive user experiences using TypeScript and React, develop and integrate backend services and APIs using Python and FastAPI, and take features from initial design through deployment and operation in AWS. The position works closely with developers, analysts, and subject matter experts to translate complex mission and user requirements into practical software capabilities. As part of a small, multidisciplinary team, this role provides meaningful ownership of the features developed and the opportunity to influence both the user experience and technical direction of the platform. Key Responsibilities Design, develop, and maintain responsive, user-facing applications using TypeScript and React. Translate complex workflows, data, and analytic capabilities into intuitive and effective user experiences. Design, build, and maintain RESTful APIs and backend services using Python and FastAPI. Integrate front-end applications with backend APIs, data services, and other OMEN platform capabilities. Own software features throughout the development lifecycle, from requirements and technical design through implementation, testing, deployment, and sustainment. Design and manage database schema changes and migrations using Alembic. Build and maintain GitLab CI/CD pipelines to automate testing and application deployment. Deploy, monitor, troubleshoot, and scale applications in AWS environments. Write clean, maintainable, well-tested, and documented code. Participate in code reviews, architecture and design discussions, and technical planning. Collaborate with developers, analysts, subject matter experts, and other stakeholders to understand user needs and deliver effective solutions. Contribute to engineering standards, development practices, and continuous improvement across the OMEN team. 3–5 years of professional software engineering experience developing production applications. Strong proficiency in Python. US Citizenship Professional experience developing modern front-end applications using TypeScript and React. Hands-on experience developing APIs and backend services using FastAPI. Experience managing database schema migrations using Alembic. Experience using GitLab for source control and CI/CD pipelines. Experience deploying and operating applications in AWS. Solid understanding of software design principles, testing, debugging, and application performance. Demonstrated ability to develop and deliver features across both the front end and backend of an application. Strong written and verbal communication skills and the ability to collaborate effectively within a multidisciplinary team.

Remote, Worldwide HFT Architecture builds short-horizon price prediction and the trading system around it. This role works on the pipeline that turns order-book records into validated models, next to more experienced engineers: data preparation, experiments end to end, and the checks that keep the future out of a training set. Fully remote, from anywhere in the world. Junior. Base salary: USD 125,000–155,000 a year. To apply: a link to your résumé, LinkedIn or GitHub, and one sentence on any of our articles. No file, no cover letter. Apply: https://hftarchitecture.com/careers/junior-machine-learning-engineer?utm_source=pythonorg&utm_medium=jobboard&utm_campaign=careers-2026-10 You write Python every day, with tests; can explain the machine learning basics, including why ordinary cross-validation breaks on time series; and have one project of your own you can show and talk through.

Remote, Worldwide HFT Architecture builds short-horizon price prediction and the trading system around it. This role builds the pipeline from raw order-book records to a fitted, validated model: data preparation, features, training and out-of-sample measurement, reproducible run to run, with leakage controls built in. Fully remote, from anywhere in the world. Middle+ to senior. Base salary: USD 180,000–240,000 a year. To apply: a link to your résumé, LinkedIn or GitHub, and an answer to one question about our article "Why Your Market Maker Loses Money". No file, no cover letter. Apply: https://hftarchitecture.com/careers/machine-learning-engineer?utm_source=pythonorg&utm_medium=jobboard&utm_campaign=careers-2026-10 You have built and run machine learning systems yourself, write Python with tests and versioned data, handle time series without leakage, and work with tens of millions of rows a day on ordinary hardware.