AI Infrastructure / Product Engineer

ABOUT THE ROLE

As an AI Infrastructure / Product Engineer, you will work at the intersection of AI research and product development at a healthtech company building AI products. You will help turn experiments into dependable systems and features, and build ways to measure and improve their quality.

WHAT YOU'LL DO

- Build repeatable benchmarks and evaluation pipelines to measure model accuracy, hallucinations, retrieval quality, latency, and cost.

- Create dashboards that make changes in system performance visible to the team.

- Develop production retrieval, drafting, document, and agent workflows from research prototypes.

- Build backend services, APIs, and internal tools to help test and release improvements.

- Deploy and operate cloud infrastructure, including monitoring, databases, delivery pipelines, and reliable operations.

- Collaborate with AI research while staying connected to product and user needs.

WHAT WE'RE LOOKING FOR

- At least 3 years of experience as a software, infrastructure, or product engineer building and deploying production systems.

- Strong Python skills and hands-on cloud deployment experience.

- Experience with APIs, databases, backend services, deployment pipelines, and production monitoring.

- Experience building evaluation pipelines, benchmarks, or assessment systems for machine learning or AI systems.

- Ability to turn ambiguous ideas and experimental code into usable, maintainable products.

- Interest or experience in LLMs, retrieval-augmented generation, agents, AI benchmarks, or document automation.

- Full-stack experience is helpful. Familiarity with FastAPI, Docker, React, Next.js, Postgres, or vector databases is a plus.

COMPENSATION & BENEFITS

Annual base salary is $180,000 to $260,000 USD, depending on skills, experience, and role scope. Visa sponsorship is not available.

LOCATION

Remote within the United States.