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