Modern radiology AI for reporting, impressions and follow-up. Reduce cognitive burden, improve report quality and help radiologists work faster. Backed by Khosla.
About the role
Advocate for improvements to product quality, security, and performance that have impact across your team
What they're looking for
- 7+ years of industry engineering experience with single and multi-tenanted environments
- In-depth knowledge of Python and FastAPI, or equivalent modern languages/frameworks
- Knowledge of relational and document based databases, as well as other large scale data storage paradigms
- Knowledge of modern web architecture and best practices
- Experience with unit and integration testing
- Experience working on a distributed team and strong version control skills using git
More about this role
At Rad AI, we’re on a mission to transform healthcare with artificial intelligence. Founded by a radiologist, our AI-driven solutions are revolutionizing radiology—saving time, reducing burnout, and improving patient care. With one of the largest proprietary radiology report datasets in the world, our AI has helped uncover hundreds of new cancer diagnoses and reduced error rates in tens of millions of radiology reports by nearly 50%.
Rad AI has secured over $140M in funding, including a recently oversubscribed Series C ($68M round) led by Transformation Capital, bringing our valuation to $528M. Our investors include Khosla Ventures, World Innovation Lab, Gradient Ventures, Cone Health Ventures, and others—all backing our mission to empower physicians with cutting-edge AI.
Our latest advancements in generative AI are used by thousands of radiologists daily, supporting more than one-third of radiology groups and healthcare systems and nearly 50% of all medical imaging in the U.S. at partners including Cone Health, Jefferson Einstein Health, Geisinger, Guthrie Healthcare System, and Henry Ford Health.
Recognized as one of the most promising healthcare AI companies by CB Insights and...
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