Full Stack Engineer, Health AI
Description
Design and build scalable fullstack systems for consumer and enterprise health.
Own end-to-end feature development—from early design and implementation through deployment, monitoring, and iteration.
Build and maintain data pipelines and services that meet strict privacy, security, and compliance requirements (e.g., HIPAA).
Collaborate closely with researchers and safety teams to integrate reliability, evaluation, and guardrails into production systems.
Debug, optimize, and harden systems to support high availability, performance, and global scale.
Take ownership of ambiguous problems and drive them to practical, high-quality solutions.
Qualifications
Are deeply motivated by improving health outcomes and expanding access to medical expertise.
Are a strong engineer who enjoys building durable, well-designed systems.
Have 2+ years of experience writing maintainable, production-quality code.
Can operate with high agency—owning problems end-to-end with minimal supervision.
Enjoy working in fast-moving, cross-functional teams with engineers, product managers, designers, and researchers.
Are comfortable doing unglamorous but essential work when it is needed for the mission (e.g., compliance, data plumbing, reliability).
Stay goal-oriented rather than tool-oriented, choosing what works over what is fashionable.
Are thoughtful about the societal impact of AI and aligned with OpenAI’s mission to ensure AGI benefits all of humanity.
Bonus if you have:
Strong product engineering instincts—able to take a rough spec and ship a polished solution.
Entrepreneurial drive or previous experience as a founder.
Prior experience with health-related products.
High-quality public code (e.g., GitHub projects, open-source contributions).
Experience building compliant or regulated products (healthcare, enterprise, finance, or similar).
Experience with distributed systems, backend architecture, or large-scale data pipelines.