The ad says“Use AI coding tools (Claude Code, Cursor, Copilot, etc.) as a force multiplier”
The ad says“7+ years of experience as a Software Engineer, with strong knowledge of major parts of our tech stack (AWS, Java, Typescript)”
The ad says“Experience designing, building, and operating long running workflows, background jobs, or distributed systems”
The ad says“7+ years of experience as a Software Engineer, with strong knowledge of major parts of our tech stack (AWS, Java, Typescript)”
The ad says“Integrate LLMs safely and reliably into production systems, with attention to observability, cost, and failure modes”
The ad says“Strong system design skills and comfort working in ambiguous problem spaces”
The ad says“7+ years of experience as a Software Engineer, with strong knowledge of major parts of our tech stack (AWS, Java, Typescript)”
We’re looking for a highly skilled Senior Full Stack Engineer, AI Platform who is excited about building in an AI native, agentic world
This is not a traditional frontend or backend role! It’s for engineers who:
Use AI coding tools (Claude Code, Cursor, Copilot, etc.) as a force multiplier
Think in terms of systems, workflows, and agents, not just endpoints and screens
Can turn ambiguous product problems into working, production-ready solutions
Want to help evolve our platform toward an agent-driven future in healthcare
You’ll work closely with Product, Design, and other engineers to re-imagine how our systems are built, extended, and operated as AI becomes a first class part of the development process
Build AI Native Systems:
Design, implement, and operate backend and fullstack systems that incorporate LLMs, tools, and agents as core components
Build agentic workflows (multi-step, tool using, stateful systems) that solve real product and operational problems
Integrate LLMs safely and reliably into production systems, with attention to observability, cost, and failure modes
Engineer with AI as a Partner:
Use modern AI coding tools (e.g. Claude Code/Codex/Pi/Cursor) to accelerate development, refactoring, and exploration
Set patterns and standards for how AI is used in day to day engineering work
Help the team move faster without sacrificing quality or clarity
Product Driven Engineering:
Collaborate closely with Product Management, Design, and other stakeholders to shape solutions, not just implement specs
Translate high level goals into technical architecture and execution plans
Contribute to roadmap discussions with a strong systems and platform perspective
Own the System End to End:
Design APIs, services, and data models (primarily backend leaning)
Ensure reliability, security, privacy, and scalability in a regulated healthcare context
Operate and observe the system’s behaviour in the real world
Improve developer experience and internal tooling where it unlocks leverage
Benefits
Health, vision, and dental plans
20 vacation days (for full-time employees)
Flexible, hybrid working model
Preferred experience
You don’t wait for perfect specs; you help create them!
You see AI as a new abstraction layer, not a gimmick
You’re curious and opinionated about where software development is going
Strong system design skills and comfort working in ambiguous problem spaces
Clear enthusiasm for the capabilities and opportunities of AI and agentic systems
7+ years of experience as a Software Engineer, with strong knowledge of major parts of our tech stack (AWS, Java, Typescript)
Ability to communicate clearly with technical and non-technical stakeholders
You ship and you iterate based on real world feedback
Strong experience in building with LLMs in production, not just prototypes
Experience designing, building, and operating long running workflows, background jobs, or distributed systems
Familiarity with healthcare, regulated products, or safety critical systems
Startup or fast moving product environment experience
