Staff Software Engineer, Backend

About Rad AI

We have raised $80+ million to date from venture funds and just closed on our series B financing with investors Khosla Ventures, Gradient (Google’s AI fund) and ARTIS. We’ve also formed a partnership with Google to collaborate on the future of generative AI to redefine healthcare. Currently, more than 1/3 of radiology groups and healthcare systems, including Kaiser Permanente, HCA Healthcare, and Geisinger, now leverage the latest Gen AI advancements from Rad AI. We're recognized as one of the most promising healthcare AI companies by both CB Insights and AuntMinnie. Come join us in transforming healthcare with AI!

Founded by the youngest US radiologist in history, Rad AI empowers physicians with Al to save time, reduce burnout, and improve the quality of patient care. By combining our deep expertise in healthcare and AI and using one of the largest proprietary radiology report datasets in the world, our AI has uncovered hundreds of new cancer diagnoses for patients and reduced the error rate in tens of millions of radiology reports by nearly 50%. 

Why Join Us:

We’re seeking multiple Software Engineers across all levels with a mix of backend and database experience to join our team building the future of radiology. This role will work alongside our high-performing cross-functional team of Full Stack Engineers, ML Engineers, and Product Leaders, and various other teams internally and externally to develop this responsive and performant application.

What You'll Be Doing:

• Develop on large-scale progressive and single page web applications that streamline user workflows and increase their efficiency and effectiveness
• Develop our Python, FastAPI backend services including a REST API and ML pipeline services
• Build new features that support our rapidly growing number of customers
• Write code that meets our internal standards for security, style, maintainability, and best practices for a high-scale HIPAA web environment
• Work with Product Management, ML, Data Science, Customer Success and other stakeholders to iterate on new features and address defects
• Advocate for improvements to product quality, security, and performance that have impact across your team

Who We're Looking For:

• 6+ 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
• Experience with performance and optimization problems, particularly at large scale, and a demonstrated ability to diagnose and prevent these problems

Nice to Haves:

• 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

Come join our world-class team as we build and deploy AI solutions that will make a difference in millions of people’s lives. Our team is mission-driven and focused on transparency, inclusion, close collaboration, and building an incredible team.

If you're passionate about driving innovation and delivering impactful reporting 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.