Physician AI Engineer

What you'll do

• Own clinical and safety agents from problem scoping and PRD through architecture, evaluation, implementation, and production launch.
• Create a production-ready clinical evaluation framework and improve AI components such as history-taking, differential diagnosis, triage, and treatment planning against physician performance.
• Assess existing AI and safety systems, identify weaknesses, and deliver prioritized improvements.

What they ask for

• MD, DO, or international equivalent, with residency training or 3+ years of clinical experience completed.
• Substantive hands-on experience building LLMs in production.
• Track record of ownership over shipped products in industry or startup settings.

Nice to have

• Health tech experience.
• Board-eligible or board-certified status with meaningful active or recent clinical practice; published work on clinical AI or LLM evaluations; or experience embedded in an engineering organization.

Tools

LLMs

AI focus

Build and evaluate clinical AI agents and safety systems, including diagnostic and care-planning capabilities, with patient safety and physician-level quality as benchmarks.