AI Infrastructure / Product Engineer

We are seeking an AI Infrastructure / Product Engineer to bridge the gap between AI research and production-ready product development in the health technology sector. In this role, you will transform experimental AI capabilities into reliable, scalable, and user-focused systems that deliver measurable value. You will build evaluation frameworks and benchmarking pipelines to assess model accuracy, retrieval quality, hallucinations, latency, and cost. Working across backend engineering, cloud infrastructure, and AI development, you will help ensure that intelligent systems perform consistently in real-world environments. You will collaborate closely with AI researchers and product-focused colleagues to turn promising ideas into dependable features and workflows. This is an opportunity to contribute to the development of innovative AI products while shaping how their quality, performance, and reliability are measured and improved.

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

• Strong proficiency in Python and practical experience deploying applications and services in cloud environments.

• Experience developing APIs, backend services, database integrations, deployment pipelines, and production monitoring systems.

• Hands-on experience building evaluation pipelines, benchmarks, or assessment frameworks for machine learning or AI-powered systems.

• Ability to translate ambiguous requirements, experimental code, and emerging ideas into usable, maintainable production products.

• Interest in or experience with large language models (LLMs), retrieval-augmented generation (RAG), AI agents, model benchmarking, or document automation.

• Strong problem-solving skills and the ability to work effectively across AI research, infrastructure, and product development.

• Full-stack development experience is an advantage.

• Familiarity with technologies such as FastAPI, Docker, React, Next.js, PostgreSQL, and vector databases is a plus.

• Ability to work remotely from within the United States.