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.