Senior Full Stack Software Engineer, Rad AI

• The ideal candidate is fluent in at least one of our core languages — Python, TypeScript, or Go — and approaches technology as a tool for solving meaningful problems
• They value clean, maintainable code and believe that exceptional engineering is grounded in thoughtful design, collaboration, and clarity
• They understand both object-oriented and functional programming paradigms, applying each where appropriate. Their experience spans designing and maintaining monolithic and microservice-based architectures, and includes making pragmatic, data-driven decisions to balance scalability with immediate impact
• The engineer is adept at gathering and refining requirements with cross-functional teams, translating complex needs into clear technical plans. They communicate risks early, collaborate to deliver sustainable solutions, and delegate effectively to build trust and achieve predictable, high-quality outcomes
• They also lead with curiosity, empathy, and accountability, recognizing that diverse perspectives create stronger, more innovative systems
• 6+ years of professional experience in software engineering, including leading or owning core systems or platforms
• Proficiency in at least one of: Python, TypeScript, or Go (or comparable experience in another modern language)
• Strong foundation in both object-oriented and functional programming concepts
• Hands-on experience with relational (e.g., PostgreSQL, MySQL) and NoSQL databases, and an understanding of when each is most appropriate
• Experience gathering requirements and collaborating cross-functionally to define and deliver solutions
• Experience building and supporting both monolithic and microservice architectures, with attention to scalability, reliability, and observability
• Demonstrated ability to identify and solve systemic problems through reusable code, shared libraries, and process improvements
• Clear and proactive communication skills — able to identify risks early and offer constructive paths forward
• Passion for designing foundational tools that simplify complexity and make engineering teams more effective

Desirable

• As part of the Core Services team, you’ll help design the systems and foundations that power Rad AI’s products. Your work is enabling our engineers to deliver reliable, scalable solutions that improve patient care at scale
• We’re seeking a Senior Software Engineer who thrives on building systems that empower teams and scale effectively. This role focuses on developing templates, libraries, and processes that address underlying challenges and enable consistent, reliable solutions across the organization
• Design, build, and maintain scalable, high-performance systems that enable consistency and reliability across Rad AI’s products
• Contribute to large-scale web applications and internal platforms that streamline workflows and increase efficiency for clinicians and internal users
• Collaborate on a modern JavaScript (React/TypeScript) frontend application and contribute to shared libraries and patterns that enhance developer productivity
• Develop and extend Python (FastAPI) backend services, including REST APIs and ML pipeline integrations, with a focus on maintainability, security, and performance
• Partner closely with Product Management, UX, Customer Success, and other stakeholders to gather requirements, shape technical solutions, and iterate quickly based on feedback
• Contribute to the architecture and development of both monolithic and microservice systems, ensuring scalability, observability, and maintainability across environments
• Write clean, testable, and well-documented code that meets Rad AI’s standards for security, style, and maintainability in a high-scale, HIPAA-compliant environment
• Identify opportunities to standardize and abstract solutions through reusable frameworks, templates, and automation that simplify complex systems
• Advocate for and implement improvements to product quality, security, and performance with a focus on sustainable, systemic impact
• Communicate risks early, propose actionable paths forward, and collaborate across disciplines to drive successful delivery