OpenEvidence
Vertical AI · Clinical knowledge AI
Vertical AI · Clinical knowledge AI
OpenEvidence currently has 8 active AI-related roles in our index. The most common open titles are: Make Your Own Role, Member of Technical Staff, Research Scientist, Software Engineer, Applied AI , Software Engineer, Backend and Infrastructure. Most positions are in Engineering and Research.
OpenEvidence's active AI hiring is concentrated in: application (88%), data (13%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
OpenEvidence is hiring AI talent in: United States (8 roles).
Job postings at OpenEvidence most frequently reference: model serving, evals.
| Title | Stage | AI score |
|---|---|---|
| Software Engineer, Applied AI Software Engineer, Applied AI to build end-to-end systems leveraging modern models as components for a medical AI platform. The role emphasizes ownership, autonomy, and delivering concrete outcomes impacting millions of lives. | Ship | 8 |
| Member of Technical Staff The company is building a medical AI platform and is looking for engineers/scientists to define and build the future of this platform. The role emphasizes end-to-end ownership, building impactful products, and driving significant revenue. The ideal candidate is a builder who is autonomous, precise, and motivated. | Ship | 8 |
| Make Your Own Role Seeking exceptional, autonomous builders to define the default platform for medical AI. This role is for world-class engineers or scientists looking to deliver concrete outcomes that impact hundreds of millions of lives. The company is a $12B, 30-person engineering team from MIT, Harvard, and Stanford, with >65% US clinician usage in just over a year. The ideal candidate is a brilliant builder who is smart, ambitious, scrappy, autonomous, precise, motivated, hard-working, and low-ego, with a desire for end-to-end ownership and to make something from nothing. | Ship | 7 |
| Software Engineer, Product Software Engineer, Product role at OpenEvidence, a medical AI platform company, focusing on building and shipping end-to-end features that impact clinical decisions and patient interactions. The role emphasizes autonomy, ownership, and fast-paced development within a small, exceptional engineering team. | Ship | 7 |
| Software Engineer, Data Infrastructure Software Engineer, Data Infrastructure role at OpenEvidence, a medical AI platform. The role involves building end-to-end systems for critical product and research workflows, focusing on performance, scalability, and accuracy. The company emphasizes exceptional builders with full autonomy and end-to-end ownership. | Data | 5 |
| Software Engineer, Fullstack Fullstack Software Engineer to build end-to-end AI products for the medical industry, focusing on user adoption and impact. | Ship | 5 |
| Software Engineer, Site Reliability Software Engineer, Site Reliability at OpenEvidence, focusing on building and hardening the infrastructure for a medical AI platform. The role emphasizes an SRE mindset to improve system health, performance, and efficiency, reduce toil, enhance observability, and define service objectives. Responsibilities include ensuring seamless on-call processes and effective incident response. | — | 5 |
| Security Engineer, Platform Security Security Engineer responsible for securing the mission-critical infrastructure of a medical AI platform, ensuring compliance integrity and resilience of the production ecosystem. Focuses on hardening cloud infrastructure, improving security observability, and establishing robust controls for sensitive medical data. | — | 5 |
| Software Engineer, Backend and Infrastructure Backend and Infrastructure Software Engineer to build and scale the mission-critical backend powering a medical AI platform used by healthcare providers worldwide. The role involves architecting and scaling core systems, including service reliability and data platforms, with autonomy over performance, security, and infrastructure design for sensitive medical data. The company is a $12B, rapidly growing medical AI platform with a focus on exceptional builders and end-to-end ownership. | Ship | 5 |