Senior Software Engineer, Full Stack

Rad AI, a rapidly growing healthcare AI company, is seeking a Senior Software Engineer with full stack expertise to join their innovative team. Having raised over $80 million and partnered with Google, Rad AI is at the forefront of transforming healthcare through AI technology. The company serves more than 1/3 of radiology groups and healthcare systems, including major players like Kaiser Permanente and HCA Healthcare.

Founded by the youngest US radiologist in history, Rad AI has developed AI solutions that have already made significant impacts, including uncovering hundreds of new cancer diagnoses and reducing error rates in radiology reports by nearly 50%. Their proprietary dataset is one of the largest in the radiology field.

As a Senior Software Engineer, you'll be working on cutting-edge applications that directly impact healthcare delivery. The role involves developing both frontend and backend components using modern technologies like React/TypeScript and Python/FastAPI. You'll be part of a high-performing cross-functional team, building features that support a rapidly growing customer base in a HIPAA-compliant environment.

The position offers a competitive salary range of $145K-$190K plus equity, along with comprehensive benefits including medical, dental, and vision insurance, 401(k), and flexible PTO. As a remote-first company, Rad AI provides location flexibility while maintaining strong team collaboration through annual company-wide offsites and periodic team gatherings.

The ideal candidate will bring 5+ years of full stack engineering experience, with strong expertise in JavaScript/TypeScript, Python, and modern web architectures. Experience with healthcare technology, HIPAA compliance, or machine learning is a plus. This is an opportunity to join a mission-driven team that's making a real difference in healthcare while working with cutting-edge technology and a supportive, inclusive culture.

If you're passionate about using technology to improve healthcare outcomes and want to be part of a team that's redefining the future of radiology with AI, this role offers the perfect blend of technical challenges, meaningful impact, and professional growth opportunities.