Jobs at OpenEvidence

Design, harden, and operate cloud infrastructure for a medical AI platform. Own security posture, compliance, and resilience of production systems; improve security observability and implement defense-in-depth controls across services and data platforms handling sensitive medical information.

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.

Build and harden mission-critical infrastructure for a medical AI platform. Improve reliability, performance, and efficiency through SRE practices: observability, SLOs, automation to reduce toil, and robust on-call and incident response processes. Own cross-product infrastructure work and deliver production-grade outcomes.

Build end-to-end Applied AI systems that leverage modern models as components, work across products and projects, take full ownership from 0->1 and scale 1->1000, and deliver medical AI products used by clinicians. Contribute as an autonomous, high-impact engineer in a small, fast-moving team and collaborate to shape a platform for medical AI.

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.