Member of Technical Staff

We are seeking an experienced, hands-on software engineer to build and scale an AI-native platform transforming how healthcare practices operate. In this role, you will take ownership of features from initial discovery and technical design through development, deployment, and production monitoring. You will work across the full stack, building intelligent agents, automated workflows, and web and mobile experiences for clinicians, patients, and healthcare operations teams. Collaborating directly with clinical and operational stakeholders, you will turn complex, ambiguous challenges into practical products that deliver measurable value. You will also help advance the engineering team's AI development capabilities by building and using coding agents, integrations, and evaluation systems. This is an opportunity to contribute to meaningful healthcare technology in a remote, highly autonomous, and engineering-driven environment.

• At least 5 years of professional experience building and delivering production software.

• Recent, hands-on experience using or building AI harnesses around models or coding agents, including project instructions, tools, MCP servers, skills, hooks, subagents, and evaluation workflows. Candidates should be able to demonstrate what they have built or configured.

• At least one personal project independently built and published online, live and accessible to users; ideally, a SaaS product with working payment functionality such as Stripe. A project link must be included with the application.

• Proven ability to own products or features end to end, from an initially undefined problem through delivery of a reliable system used by real people.

• Strong full-stack engineering skills in Python and TypeScript, with experience across frontend development, backend services, databases, and cloud infrastructure.

• Comfort working within large, established codebases.

• Practical experience building with large language models, including tool use, agent orchestration, structured outputs, retrieval, and evaluations using frameworks such as LangGraph or similar agent SDKs.

• Daily experience using AI coding agents such as Claude Code, Codex, or Cursor, including configuring project instructions, skills, MCP servers, hooks, and subagents; running parallel tasks; and carefully reviewing generated code.

• Good product judgment and the ability to make sound user-interface decisions using an existing component library, even without a dedicated designer.

• Strong initiative, resourcefulness, and problem-solving skills, with the ability to find context, overcome blockers, and ask the right questions.

• Clear written communication skills and comfort collaborating across time zones through specifications, pull requests, and tickets.

• Nice to have: Experience in healthcare or another regulated industry, including HIPAA, payer and claims workflows, EHR integrations, or HL7/FHIR; familiarity with Temporal or other durable workflow engines; React Native experience; experience running LLM evaluations or production safety checks; experience building agent harnesses, MCP servers, or coding-agent plugins; and open-source contributions or internal tools used by others.