Jobs 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.

First recruiter responsible for the full recruiting lifecycle (sourcing, coordination, closing). Build recruiting systems and pipelines, partner with founders to define role requirements, and hire engineering, science, and key functional talent while maintaining a high bar and rapid execution.

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 fullstack features and products, owning work from idea to production. Work across products, collaborate with a small elite engineering team, move fast, and deliver high-impact, scalable medical AI software used by clinicians. Must be highly autonomous, detail-oriented, and able to operate in a high-performance, in-person engineering culture.

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.

Owner-operator software engineer building and shipping end-to-end product features across web, mobile, and backend systems. Work across products, take full ownership from 0->1 and scale to wide usage, collaborating within a small, high-performance engineering team.

Seeking a world-class engineer or scientist to define and build medical AI products with end-to-end ownership. Work 0->1 and scale 1->1000 within a small, autonomous engineering team; in-person five days weekly in San Francisco or Miami. Must be highly driven, precise, low-ego, and capable of making large product and business impact.