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.
Job description provided by Clera.
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