[Hiring] AI Product Engineer @3Y Health

Role Description

Members of Technical Staff own features end to end. You'll work with the clinicians and operators who use what we build, scope the problem, design and build the solution across the stack, deploy it and follow how it performs in production. Our engineering team is flat, with no sub-teams, so you'll work across the whole platform. We build with AI coding agents every day and expect you to do the same.

What you'll do

• 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.

Our stack

• 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.

Qualifications

• 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.
• 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).

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.
• 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.

Nice to have

• Experience in healthcare or another regulated industry (HIPAA, payer and claims workflows, EHR integrations, HL7/FHIR).
• Temporal or another durable workflow engine.
• React Native.
• 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.