Teams at OpenEvidence

Design and build production-quality medical AI systems, own end-to-end problems, prioritize rigorous evaluation and quantitative proof, collaborate across products, and deliver high-impact, deployed outcomes in a fast-paced, hands-on engineering culture.

Build and own end-to-end data platform systems that power clinical workflows, focusing on performance, scalability, and accuracy. Work across products and projects with full ownership of infrastructure supporting real-time clinical decision-making. Collaborate within a small, high-performance engineering team.

Build and scale mission-critical backend and infrastructure for a medical AI platform. Architect systems for service reliability and data platforms, ensuring performance and security for sensitive medical data. Own end-to-end projects across products, collaborating with a small engineering team and driving high-impact outcomes.