Staff Software Engineer, AI Products
United States
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%.
We are looking for a Software Engineer to join our AI product team and help build innovative interfaces that equip healthcare professionals with powerful AI tools. Our AI product team is responsible for building features that leverage advanced language models and traditional machine learning tools across our product suite. This role will sit at the nexus of our AI infrastructure and the full-stack products that leverage this infrastructure. You will work with a talented team of engineers, researchers, design and product teams to design and implement AI-powered experiences, pushing the boundaries of what's possible with AI in healthcare.
What you’ll be doing:
Developing powerful solutions that leverage AI to streamline healthcare tasks and improve patient care.
Working with ML Engineers, Research Scientists, and Product Software Engineers to implement AI solutions directly in our full-stack applications.
Implementing tools and processes to monitor model behavior, performance, and alignment with user needs through the full lifecycle of AI development.
Working on a stack that includes a modern Javascript (React/Typescript) frontend, FastAPI Python backend, a RESTful service architecture, and a variety of modern data pipeline tools.
Writing high quality code that meets our internal standards for security, style, maintainability, and best practices for a high-scale HIPAA web environment
Working with a highly cross-functional team including product managers, UX researchers, customer success, and other stakeholders.
Who we’re looking for:
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
Experience with data modeling and data pipeline design to support product and ML monitoring, evaluation, and iteration
Experience with unit and integration testing
Experience working on a distributed team and strong version control skills using git
Excellent communication and technical coordination skills (you will be working across infrastructure spanning multiple areas and products, and communication and coordination skills will be key to your success)
Nice To Haves:
Experience with Typescript and React
Experience with Python, FastAPI, Starlette, SQLAlchemy
Experience with PostgreSQL
Experience working at an early-stage startup
Experience in a HIPAA-compliant environment, especially with FHIR and HL7
Experience working on machine learning products
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.
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.
Job Profile
11 paid company holidays Annual company-wide offsite Annual equipment stipend Building an incredible team Close collaboration Comprehensive Medical, Dental, Vision & Life Comprehensive Medical, Dental, Vision & Life insurance Flexible PTO Flexible PTO policy HSA with employer match Inclusion Life Insurance Location-flexibility Periodic team offsites Remote-first company Transparency
Tasks- Collaborate with cross functional teams
- Develop AI solutions
- Implement AI in applications
- Monitor model performance
- Write high-quality code
AI AI solutions Collaboration Communication CSS Customer Success Databases Data Modeling Data Pipeline Design FastAPI FHIR Generative AI Git Healthcare HIPAA HL7 HTML Innovation Integration Testing Javascript Machine Learning Python Radiology React Responsive Design Typescript Unit Testing
Experience6 years
Education TimezonesAmerica/Anchorage America/Chicago America/Denver America/Los_Angeles America/New_York Pacific/Honolulu UTC-10 UTC-5 UTC-6 UTC-7 UTC-8 UTC-9