Member of Technical Staff

About The RoleMembers 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 DoDesign and build AI agents and automated workflows for clinic operations, such as insurance benefits verification, prior authorizations, patient intake, claims and clinical documentationBuild features for clinicians, patients and families, and our internal operations team, on web and mobileTake ambiguous problems from 0 to 1, working with operators and clinicians to define the problem, write the spec and ship a first versionDesign the services, data models and APIs behind your features and manage the infrastructure as codeOwn your services in production: deployments, monitoring and incident responseWrite evals for model-facing features and track the metrics of the workflows you shipWork with protected health information (PHI) safely, with least-privilege access, no PHI in logs and auditable changesBuild and maintain the skills, plugins, MCP integrations and review bots our engineers use with Claude Code and CodexOur stackBackend: Python (our primary language for new services), Kotlin with Hasura (GraphQL) on our established platform, plus TypeScript (NestJS) and some GoFrontend and mobile: React, Next.js, React NativeData: PostgreSQL (including pgvector), SnowflakeWorkflows and contracts: Temporal, gRPC/ProtobufInfrastructure: AWS (ECS Fargate, RDS), Terraform, GitHub Actions, Datadog, LaunchDarklyAI: Claude and OpenAI models, Claude Code and Codex, with our own skills, plugins, MCP integrations and an AI code-review botWhat We're Looking For3+ years of experience building and shipping production softwareA track record of owning products or features end to end, from an unclear problem to a system people depend onStrong full-stack skills in Python and TypeScript, with experience across frontend, backend, databases and cloud infrastructureComfort working in a large, established codebaseHands-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 libraryHigh agency: you unblock yourself, look for context and ask questions when you need toClear written communication. The team is distributed across time zones and most decisions happen in specs, PRs and tickets. Nice to haveExperience in healthcare or another regulated industry (HIPAA, payer and claims workflows, EHR integrations, HL7/FHIR)Temporal or another durable workflow engineReact NativeRunning LLM evaluations or safety checks on model output in productionBuilding your own agent harness, MCP server or plugin for a coding agentOpen-source work, side projects or internal tools that other people useIf you meet most of the requirements and the role interests you, we'd like to hear from you, even if you don't check every box.