Senior AI Engineer

🇺🇸 Menlo Park, California
$2K - $2K Annual
Posted 12 months ago
Expires June 9, 2026
Full TimeOn-site

Develop Health is on a mission to use AI to radically accelerate access to life-saving medications. By automating complex, manual healthcare processes—like benefit verification and prior authorization—we’ve achieved 10x revenue growth over the past year, growing from $0 to >$10M in annual recurring revenue in less than 2 years, and currently help more than 400,000 new patients every month.

We’re partnering with some of the largest pharmacy benefit managers and payers in the nation, revolutionizing how healthcare interactions occur by eliminating human delays and inefficiencies. Our small, elite team of founders and engineers have previously launched and exited successful healthcare startups including Rupa Health and Canvas Medical. We are now scaling rapidly following a major funding round.

ABOUT THE ROLE:

We’re hiring a Senior AI Engineer to take models from prototype to production and drive real clinical impact through applied AI. You’ll have significant autonomy to define high‑value projects, build production‑ready systems, and ensure our models are safe, reliable, and deeply useful in the healthcare workflow.

You’ll work closely with our product engineers, clinical leaders, and CTO to ensure that our AI delivers measurable improvements in patient access and operational efficiency. This is a hands‑on role that combines cutting‑edge AI development with pragmatic engineering and evaluation.

WHAT YOU'LL DO - IMPACT IN YOUR FIRST 3-6 MONTHS:

- Build and curate datasets and context sources to enable exceptional prompt engineering and evaluation of frontier LLMs, optimizing inputs, retrieval, and context to deliver cutting‑edge performance and reliability.

- Design and maintain evaluation pipelines that rigorously measure model accuracy, reliability, and real‑world clinical value.

- Prompt, test, and iterate on LLM workflows—including retrieval, agent logic, and tool use—to achieve industry‑leading performance.

- Deploy models into production: design...

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