Staff Software Engineer, Continuity
About 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.
About Continuity
Continuity is Rad AI’s care coordination and follow-up product, helping radiology teams make sure important findings do not fall through the cracks. The team builds and operates the applications, APIs, and integrations that turn clinical data into actionable workflows for customers, with a strong emphasis on reliability, scalability, and operational excellence in a sensitive healthcare environment. This work sits at the intersection of product, engineering, implementations, and customer needs, and is central to helping Rad AI deliver measurable value for health systems and radiology practices.
Why Join Us
We’re seeking a Staff Software Engineer 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, 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
- Mentor engineers on the team through technical guidance, code reviews, design collaboration, and development of strong engineering practices.
Who We'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
- Experience with performance and optimization problems, particularly at large scale, and a demonstrated ability to diagnose and prevent these problems
- Experience using AI-assisted development tools and workflows to improve engineering productivity, while maintaining high standards for code quality, reliability, and security
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
Careers
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!
Benefits
At Rad AI, we offer a variety of benefits, including:
- Comprehensive Medical, Dental, Vision & Life insurance
- HSA (with employer match), FSA, & DCFSA 401(k)
- 11 Paid Company Holidays
- Flexible PTO policy
- Annual company-wide offsite
- Periodic team offsites
- Annual equipment stipend
Equal Employment Opportunity
We are an equal opportunity employer and provide a drug-free workplace. We will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance.
Contact Us
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.
Compensation Range
$175K - $230K