GenMD generates digital twins of healthcare datasets that let health systems support research, AI development, and external partnerships—while maintaining strict patient privacy. Backed by 500 Global.
About the role
A growing share of GenMD's product runs on agents, starting with Mira, our AI research assistant on Healthcare Datahub. Mira helps researchers find the right dataset, explore cohorts and write analysis code. You'll design and ship the systems those agents run on, and own them in production against real researchers and real data. Build and own agent infrastructure: orchestration, tool calling, retrieval over data catalogs and dictionaries, retries and fallbacks, and human-in-the-loop review. Found on 1752vc Careers, the job board for startup and VC roles.
What they're looking for
- 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
More about this role
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
A growing share of GenMD's product runs on agents, starting with Mira, our AI research assistant on Healthcare Datahub. Mira helps researchers find the right dataset, explore cohorts and write analysis code. You'll design and ship the systems those agents run on, and own them in production against real researchers and real data.
Build and own agent infrastructure: orchestration, tool calling, retrieval over data catalogs and dictionaries, retries and fallbacks, and human-in-the-loop review.
Ship...
Read the full posting on GenMD AI, Generative Medical, GenMD's site ↗
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