Member of Technical Staff, Agentic Systems

• Build and own agent infrastructure: orchestration, tool calling, retrieval over data catalogs and dictionaries, retries and fallbacks, and human-in-the-loop review.
• Ship agents into production and keep improving them against real usage: prompts, tools, guardrails, and cost and latency trade-offs.
• Build evaluation for agents: offline evals, online metrics and regression detection that tell us whether an agent is actually working.
• Design the services, data models and APIs that keep agent actions auditable, permissioned and safe around sensitive healthcare data.
• Work directly with the founders, researchers and partners to decide what agents should do and where a human stays in the loop.

• 3+ years building production backend systems; strong in Python or TypeScript.
• Hands-on experience shipping LLM applications or agents (tool use, structured outputs, evals).
• Experience with cloud data infrastructure (GCP/BigQuery preferred) and building secure, well-tested services.
• You own systems end to end and move quickly without lowering the bar.

• Experience with healthcare or other regulated data, data governance or access control.
• Experience building code-generating or data-analysis agents.

$180,000 – $250,000 per year, plus equity. Final offer depends on experience.

GenMD is a Stanford spin-off building AI and data infrastructure for healthcare. We grew out of years of work inside Stanford Medicine, alongside world-class researchers and clinicians, and we now work with health systems and data partners on large longitudinal datasets: claims, health records, imaging and clinical notes. We make that data usable for researchers and frontier AI, while patient privacy stays protected.

We're just coming out of stealth, already revenue-generating and well funded. We're intentionally small, move fast, and are focused on building something fundamental. Our CEO is a former Associate Director of AI at Stanford Medicine. See how we work: https://genmd.ai/careers