3y-health - AI Product Engineer
Requirements
• A track record of owning products or features end to end, from an unclear problem to a system people depend on • Strong full-stack skills in Python and TypeScript, with experience across frontend, backend, databases and cloud infrastructure • Comfort working in a large, established codebase • Hands-on experience building with LLMs, including tool use, agent orchestration, structured outputs, retrieval and evals (LangGraph, an agents SDK or similar) • Daily use of AI coding agents such as Claude Code, Codex or Cursor. You know how to set them up for a codebase (project instructions, skills, MCP servers, hooks, subagents), run several tasks in parallel and review their output carefully. If you haven't heard of Claude Code, this role is likely not a fit. • Good product sense and the ability to make solid UI decisions without a dedicated designer, using our component library • High agency: you unblock yourself, look for context and ask questions when you need to • Clear written communication. The team is distributed across time zones and most decisions happen in specs, PRs and tickets. • Experience in healthcare or another regulated industry (HIPAA, payer and claims workflows, EHR integrations, HL7/FHIR) • Temporal or another durable workflow engine • Running LLM evaluations or safety checks on model output in production • Having built your own agent harness, MCP server or plugin for a coding agent • Open-source work or internal tools that other people use • If you meet all the must-haves and most of the rest, we'd like to hear from you, even if you don't check every other box.
Responsibilities
• Design and build AI agents and automated workflows for clinic operations, such as insurance benefits verification, prior authorizations, patient intake, claims and clinical documentation • Build features for clinicians, patients and families, and our internal operations team, on web and mobile • Take ambiguous problems from 0 to 1, working with operators and clinicians to define the problem, write the spec and ship a first version • Design the services, data models and APIs behind your features and manage the infrastructure as code • Own your services in production: deployments, monitoring and incident response • Write evals for model-facing features and track the metrics of the workflows you ship • Work with protected health information (PHI) safely, with least-privilege access, no PHI in logs and auditable changes • Build and maintain the skills, plugins, MCP integrations and review bots our engineers use with Claude Code and Codex • Backend: Python (our primary language for new services), Kotlin with Hasura (GraphQL) on our established platform, plus TypeScript (NestJS) and some Go • Frontend and mobile: React, Next.js, React Native • Data: PostgreSQL (including pgvector), Snowflake • Workflows and contracts: Temporal, gRPC/Protobuf • Infrastructure: AWS (ECS Fargate, RDS), Terraform, GitHub Actions, Datadog, LaunchDarkly • AI: Claude and OpenAI models, Claude Code and Codex, with our own skills, plugins, MCP integrations and an AI code-review bot • 5+ years of experience building and shipping production software • Recent, hands-on experience using or building AI harnesses: the layer around a model or coding agent (project instructions, tools and MCP servers, skills, hooks, subagents, evals), not only calls to a model API. You can show what you set up or built. • At least one personal project you built and published on the web, live and usable by anyone, ideally a SaaS with payments working (e.g. Stripe). Share the link when you apply.
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