Senior Software Engineer - Health Data Platform

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 AuntMinnie, and ranked by Deloitte as the 19th fastest-growing company in North America, we are building AI-powered solutions that make a real impact. Most recently, Rad AI was named to CNBC’s Disruptor 50 list, highlighting the innovation and momentum behind our mission.

If you’re ready to shape the future of healthcare, we’d love to have you on our team!

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  Develop on large-scale progressive and single page web applications that streamline user workflows and increase their efficiency and effectiveness

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  Work on a modern Javascript (React/Typescript) frontend application

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  Develop our Python, FastAPI backend services including a REST API and ML pipeline services

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  Build new features that support our rapidly growing number of customers

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  Write code that meets our internal standards for security, style, maintainability, and best practices for a high-scale HIPAA web environment

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  Work with Product Management, UX, Customer Success and other stakeholders to iterate on new features and address defects

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  Advocate for improvements to product quality, security, and performance that have a particular impact across your team

• 6+ years of industry full stack engineering experience with single and multi-tenanted environments

• In-depth knowledge of Javascript / TypeScript, 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

• Fluency with HTML, CSS, responsive design, and other related web technologies

• Familiarity with cross-browser compatibility, accessibility, browser networking, and browser APIs such as IndexedDB and WebSockets

• Experience with unit and integration testing

• Experience working on a distributed team and strong version control skills using git

• Experience with performance and optimization problems, particularly at large scale, and a demonstrated ability to diagnose and prevent these problems

• Experience with React

• Experience with Starlette, SQLAlchemy

• Experience with PostgreSQL

• Experience with 3rd-party integrations such as Auth0, Amplitude

• Experience working at an early-stage startup

• Experience in a HIPAA-compliant environment, especially with FHIR and HL7

• Experience working on machine learning

We welcome applicants from across the United States, with a strong preference for this role to be based in our San Francisco office.

Join our world-class team as we build and deploy AI solutions that empower physicians and transform patient care—making a meaningful impact on millions of lives. Driven by our mission,  we prioritize transparency, inclusion, and close collaboration, bringing together exceptional people to revolutionize healthcare. If you're passionate about driving innovation and delivering impactful healthcare solutions, we'd love to hear from you!

To learn more about what it's like to work at Rad AI, visit https://www.radai.com/life-at-rad-ai and be sure to follow us on LinkedIn to stay up to date!

For roles listed as San Francisco - Onsite:

• This role will be based in our San Francisco office and we expect employees to work onsite four days per week. The remaining time may be worked remotely or onsite, depending on team and business needs.

For roles listed as United States - Remote:

• This role is open to candidates located anywhere in the United States.

For roles listed as San Francisco - Onsite + United States - Remote:

• We will prioritize candidates who can work onsite four days per week in San Francisco, while also considering remote candidates located anywhere in the United States.