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 $60M Series C round led by Transformation Capital, bringing our valuation to $525M. 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.
If you’re ready to shape the future of healthcare, we’d love to have you on our team!
Why Join Us:
As part of our exciting growth, we are seeking a QA Automation Engineer to join our team and collaborate with cross-functional partners to deliver seamless software that empowers physicians, improves clinical outcomes, and ultimately saves patient lives. This role requires supporting products by developing automated test suites to ensure our software meets the highest quality standards. This is a high-growth opportunity to join us at a pivotal stage, conceptualizing and building our QA automation suite from the ground up alongside our software engineering team.
What You’ll Be Doing:
Assist all QA activities and collaborate with multiple teams.
Design and creation of automated test suites across various services and applications.
Be the first line of support for bugs reported from customer channels, including investigations, writing bug tickets, and verifying resolution.
Perform functionality testing on the Rad AI product, including verifying feature implementations and testing new releases (writing bug tickets).
Collaborate to ensure project deadlines were met effectively and consistently.
Who We’re Looking For:
3+ years of general software programming experience with C#, including regular use of major scripting languages. An additional consideration for experience with Object-oriented programming languages (Python, Java, etc.).
Comfortable writing Unit Tests.
API testing experience (C#, ASP.NET Core Minimal API, FastAPI, GraphQL, Postman).
Strong troubleshooting skills.
Strong knowledge of the Software Development Life Cycle.
Experience working with CI/CD tools (Github Actions, Circle CI).
Working knowledge of SQL.
Strong written and verbal communication skills in English.
Nice to Haves:
Experience working with AWS and/or Google Cloud.
Healthcare/Medical industry experience, ideally in a startup environment.
Experience with Robot Framework, Selenium, Cypress, or other automation frameworks.
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!
Rad AI offers a variety of benefits, including:
Comprehensive Medical, Dental, Vision & Life insurance
HSA (with employer match), FSA, & DCFSA
401(k)
11 Paid Company Holidays
Location Flexibility (Remote-first company!)
Flexible PTO policy
Annual company-wide offsite
Periodic team offsites
Annual equipment stipend
At Rad AI, we value diversity and provide equal employment opportunities (EEO) to all employees and applicants without regard to race, color, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
Please be vigilant regarding job scams. We advise all candidates to apply directly through our official careers page. Our recruiters will use email addresses with the domain @radai.com or no-reply@ashbyhq.com.
