Rad AI
Rad AI builds AI software for radiologists and health systems to streamline reporting and radiology workflows, integrating with PACS and EHR systems. Products include generative AI tools for report drafting and quality improvement used by radiology groups and hospitals such as Cone Health, Geisinger, and Henry Ford Health. Founded in 2018, the privately held company is headquartered in San Francisco.
Open Positions at Rad AI
4 open positions
Staff Software Engineer building Continuity, Rad AI’s care coordination and follow-up product for radiology teams. The role combines full-stack web development, Python backend services, integrations, scalability, reliability, and technical mentorship in a healthcare environment.
Join Rad AI’s Continuity team as a Senior Software Engineer building scalable web applications, Python/FastAPI services, APIs, and integrations that improve radiology care coordination. You’ll help deliver reliable healthcare workflows used by radiology teams across the U.S.
Lead the technical vision for Rad AI’s reporting product as a Principal Software Engineer, shaping scalable systems that help radiologists work more efficiently and reduce burnout. Partner with executive leadership while mentoring engineers and driving organization-wide engineering excellence.
Lead end-to-end applied machine learning research at Rad AI, translating advances in LLMs, retrieval, and multimodal modeling into reliable clinical AI products. You’ll shape technical direction, evaluation standards, and production systems that improve radiology workflows and patient care.