About the role
Collaborate with AI researchers, clinicians, product managers, and designers to bring world-class AI health products to the world. Own the end-to-end development of features, from ideation and specification through to deployment and iteration. Design, build, and optimize production-grade code (with coding agents), delivering robust features within a much larger existing architecture. Collaborate with Applied AI & clinicians to evaluate AI features ensuring they remain effective and safe throughout their lifecycle Work independently across a wide range of our stack, shipping delightful user experiences. Ensure resilience, maintainability, and security above all else. Build the hiring pipelines, onboarding frameworks, or software development best practices as needed to scale an engineering team around you. Guide peers, contributing to a culture of technical excellence and continuous improvement. Bachelor's or Higher Degree in Computer Science, or related technical discipline AND strong software engineering experience with coding in languages/frameworks including, but not limited to, C#, C, C++, Java, Python, Rust, Typescript, Swift, Kotlin. Demonstrated expertise building products at scale, with domain expertise in one or more of distributed systems, cloud infrastructure, web, mobile, Applied AI. Experience using AI coding agents to build production software, while maintaining strong engineering judgement and high standards for safety, quality, and maintainability Experience collaborating in cross functional teams, working through ambiguity to deliver high quality products. Experience building products from 0 to 1 with a bias towards shipping and learning, while balancing a high-quality bar. Proven ability to collaborate and contribute to a positive, inclusive work environment, fostering knowledge sharing and growth within
the team. Experience in healthcare technology, particularly with regulated medical devices or similar high-trust, safety-critical products. Demonstrated written and verbal communication skills with the ability to work closely with cross-functional teams, including product managers, designers, and other engineers. Passion for learning new technologies and staying up to date with industry trends, best practices, and emerging technologies and patterns in AI. Experience designing and operating agentic AI systems, including tool use, orchestration, evaluation, guardrails, observability, and failure handling.
