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Rad AI is transforming healthcare with AI-driven radiology solutions. The company has secured over $140M in funding (Series C: $68M, valuation $528M) and is recognized as one of the most promising healthcare AI companies. Rad AI's AI solutions 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.
Continuity is Rad AI's care coordination and follow-up product, helping radiology teams ensure important findings do not fall through the cracks. The team builds and operates applications, APIs, and integrations that turn clinical data into actionable workflows for customers, with emphasis on reliability, scalability, and operational excellence in a healthcare environment.
As a Senior Software Engineer on the Continuity team, you will:
- Develop large-scale progressive and single-page web applications that streamline user workflows and increase efficiency and effectiveness
- Develop Python and FastAPI backend services including REST APIs and ML pipeline services
- Build new features supporting a rapidly growing customer base
- Write code meeting internal standards for security, style, maintainability, and best practices for a high-scale HIPAA web environment
- Collaborate with Product Management, ML, Data Science, Customer Success, and other stakeholders to iterate on features and address defects
- Advocate for improvements to product quality, security, and performance with impact across the team
- Proactively improve the codebase and product through code reviews, design collaboration, and development of strong engineering practices
You will work alongside a high-performing cross-functional team of Full Stack Engineers, ML Engineers, Product Leaders, and other teams to develop responsive and performant applications. This role sits at the intersection of product, engineering, implementations, and customer needs, central to delivering measurable value for health systems and radiology practices.
REQUIREMENTS:
- Minimum 5+ 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 distributed teams and strong version control skills using git
- Experience with performance and optimization problems at large scale, with 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 at an early-stage startup
- Experience in a HIPAA-compliant environment, especially with FHIR and HL7
- Experience working on machine learning
