Physician AI Engineer

🕒 October 7

🇺🇸 United States – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 AI Engineer

👻 Ghost score 15%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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Counsel Health

WebsiteLinkedInAll Job Openings

1 - 10 employees

🏥 Healthcare

⚕️ Healthcare Insurance

💼 Consulting

Healthcare • Healthcare Insurance • Consulting

Counsel Health is a healthcare company that provides expert medical advice from real doctors. It focuses on offering reliable medical guidance to individuals seeking professional health information and support.

📋 Description

• Own the full lifecycle of clinical and safety agents, from scoping and PRD writing through architecture, evaluation, implementation, review, and production launch • Establish a clinical evaluation framework as the canonical quality bar for at least one agent • Ensure evaluations are testable and productionized for engineers and researchers • Improve Counsel AI components including history-taking, differential diagnosis, triage, and treatment planning • Benchmark AI performance against physicians using representative case sets • Learn the existing stack by reading code, running evaluations, and working with the clinical team • Identify and prioritize weaknesses in Counsel’s AI and safety systems • Shadow current workflows, select an agent or safety component, prototype it, obtain review, and ship it

🎯 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 experimentation • Track record of ownership over shipped products in industry or startup settings • 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) • Experience operating at an early-stage startup or founding one • Experimental mindset and willingness to prototype, test, and iterate • Ability to translate clinical nuance to engineers and technical tradeoffs to clinicians • Eligibility to complete U.S. employment verification through E-Verify

🏖️ Benefits

• Remote work in the United States • E-Verify employment eligibility processing