Physician AI Engineer

Counsel Health•New York, NY

About The Position

Counsel Health is building an AI-enabled care delivery platform and is seeking an individual to lead its 0→1 build at the intersection of clinical, technical, and product judgment. This role requires translating clinical reasoning into shippable agents, safety systems, and evaluations that meet a practicing physician's standard of care. The ideal candidate will be proficient in scoping clinical problems, designing evaluations, and writing code to implement solutions. This is a unique opportunity to shape the future of AI in healthcare.

Requirements

  • MD, DO, or international equivalent, with residency training or 3+ years of clinical experience completed.
  • Substantive, hands-on experience building with LLMs in production, beyond just experimentation.
  • A track record of real ownership over shipped products in industry or startup settings.
  • You think like a physician and build like an engineer.
  • You've operated at an early-stage startup, or founded one yourself, and you're energized rather than overwhelmed by ambiguity and a fast-moving roadmap.
  • You have an experimental mindset: you'd rather prototype, test, and iterate than wait for the perfect plan.
  • You take patient safety personally and are motivated by getting medical AI right, not just getting it out the door.
  • You're a natural translator across disciplines such that you can make clinical nuance legible to engineers and technical tradeoffs legible to clinicians.
  • You're drawn to defining your own roadmap rather than executing someone else's spec.

Nice To Haves

  • Health tech experience is strongly preferred.
  • Board-eligible or board-certified status with meaningful active or recent clinical practice (strongly preferred).
  • Published research, open-source work, or public writing on clinical AI, LLM evaluations, or related areas (strongly preferred).
  • Experience embedded inside an engineering organization (strongly preferred).

Responsibilities

  • Own the full arc of clinical and safety agents: scoping with Product and relevant teams, writing the PRD, designing the architecture and evals, building, and shipping to production.
  • Stand up a clinical eval framework that becomes the canonical quality bar for at least one agent, built to be testable and productionized.
  • Measurably improve core components of Counsel AI (i.e. history-taking, differential diagnosis, triage, treatment planning), benchmarked against physician performance on representative case sets.
  • Get fluent in the existing stack quickly by reading the code, running the evals, sitting with the clinical team, and surfacing a prioritized list of where Counsel’s AI and safety systems are weakest.
  • Ship early, guided work end-to-end from shadowing current workflows, picking a tractable agent or safety component, prototyping it, getting it through review, and shipping it.
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