Associate Software Engineer

Function Health is hiring an Associate Software Engineer to build and ship software that gives members real-time access to their health data. The role contributes to feature development, project delivery, debugging, quality practices, and AI-assisted engineering workflows in collaboration with cross-functional teams.

Responsibilities:

• AI-Native Software Development: Write clean, well-tested, maintainable code for well-scoped features and bug fixes, using AI coding assistants and agentic workflows as part of your daily process. Learn our codebase and engineering standards, and contribute to scalable, secure systems under the guidance of senior engineers
• Cross-Functional Collaboration: Work with teammates across engineering, product, design, and clinical teams to understand requirements, ask clarifying questions, and communicate progress and blockers clearly
• Project Delivery: Own small to medium-sized tasks from start to finish, including planning, implementation, testing, code review, and deployment. Contribute to team projects that support Function's strategic goals
• Technical Problem Solving: Debug and resolve technical issues with support from your team. Break down problems into manageable pieces, and learn to investigate root causes using logs, monitoring, testing, and AI-assisted analysis
• Quality and Engineering Practices: Participate in code reviews, write unit and integration tests, and follow our CI/CD, Agile, and documentation practices. Critically review AI-generated code for correctness, security, and maintainability before it ships, and take ownership of everything you commit. Help keep our data accurate and our systems reliable
• AI Workflow Fluency: Learn and share effective ways of working with AI, such as prompting, providing context, using coding agents, and automating repetitive tasks. Help the team improve how we build with AI
• Learning and Growth: Stay curious about new technologies and approaches. Seek feedback, take on stretch work, and apply what you learn to improve our platform

Requirements:

• 1-2 years of professional software engineering experience (internships and co-ops included)
• Minimum Bachelor's degree in Computer Science, Computer Engineering, Artificial Intelligence or Applied Mathematics
• Working proficiency in Python (or a comparable language such as Java, TypeScript, or Go), plus a solid grasp of data structures, algorithms, and object-oriented design
• Comfort working with a variety of AI engineering workflows, such as AI coding assistants, agentic tools, and LLM-assisted debugging, testing, and code review
• Familiarity with version control (Git), testing practices, and APIs and web services
• Strong analytical skills and a knack for breaking down unfamiliar problems
• Clear written and verbal communication, and comfort working in a remote, distributed team
• A growth mindset. You welcome feedback, ask good questions, and question assumptions, including the AI's
• Interest in using technology to improve healthcare and help people manage their health
• Hands-on experience with tools such as Claude Code, Cursor, or GitHub Copilot, or with building LLM-powered features
• Exposure to cloud platforms (AWS or Google Cloud) and containerization (Docker)
• Familiarity with Agile methodologies, test-driven development, or CI/CD pipelines
• Experience with SQL or relational databases
• Prior internship or project experience in healthcare, health data, or a startup environment