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AI Engineer at Develop Health | Menlo Park

Develop HealthMenlo Park
On-site Full-time

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Experience Level

Experience

Qualifications

Ideal candidates will possess a strong foundation in AI/ML principles, experience with model deployment and evaluation, and proficiency in Python programming. A Bachelor's Degree in a relevant field is preferred. Additionally, the ability to work collaboratively in a fast-paced environment and communicate effectively with cross-functional teams is essential.

About the job

At Develop Health, we are dedicated to harnessing the power of artificial intelligence to dramatically improve access to life-saving medications. By automating intricate healthcare processes such as benefit verification and prior authorization, we have rapidly achieved over $10M in annual recurring revenue within just two years and currently assist over 400,000 new patients each month.

We collaborate with some of the largest pharmacy benefit managers and payers nationwide, transforming healthcare interactions by removing human delays and inefficiencies. Our accomplished team of founders and engineers has a track record of successfully launching and exiting healthcare startups, including Rupa Health and Canvas Medical. Following a significant funding round, we are in an exciting phase of rapid growth.

About The Role:

We are looking for an AI Engineer to transition models from prototypes to production and create tangible clinical impacts through applied AI. This role offers substantial autonomy to identify high-value projects, develop production-ready systems, and guarantee that our models are safe, reliable, and integral to the healthcare workflow.

You will collaborate closely with product engineers, clinical leaders, and our CTO to ensure our AI solutions yield measurable enhancements in patient access and operational efficiency. This is a hands-on position that merges state-of-the-art AI development with practical engineering and evaluation.

What You'll Do - Impact In Your First 3-6 Months:

  • Build and curate datasets to facilitate exceptional prompt engineering and evaluation of advanced LLMs, optimizing inputs and retrieval methods to achieve unparalleled performance and reliability.

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

  • Prompt, test, and iterate on LLM workflows to attain industry-leading performance.

  • Deploy models into production: create APIs, integrate inference into our Python-based backend, and implement observability and monitoring systems.

  • Stay updated on AI research, evaluating and incorporating advancements that enhance our platform.

What You’ll Own – Driving Growth Beyond 12 Months:

  • Develop and scale systems for continuous model improvement and learning, informed by real production feedback.

About Develop Health

Develop Health is revolutionizing the healthcare landscape by leveraging artificial intelligence to streamline access to essential medications. Our innovative solutions are designed to enhance the efficiency of healthcare processes, significantly impacting patient care and operational success.

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