Full Stack Engineer, Health AI

Responsibilities

• 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.

Requirements

• Deeply motivated by improving health outcomes and expanding access to medical expertise.
• Strong engineer who enjoys building durable, well-designed systems.
• 5+ years of experience writing maintainable, production-quality code.
• 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.
• Comfortable doing unglamorous but essential work (e.g., compliance, data plumbing, reliability).
• Goal-oriented rather than tool-oriented.
• Thoughtful about AI's societal impact and aligned with OpenAI’s mission.

Nice-to-Haves

• Strong product engineering instincts.
• Entrepreneurial drive or founder experience.
• Prior experience with health-related products.
• High-quality public code (e.g., GitHub, open-source).
• Experience building compliant or regulated products (healthcare, enterprise, finance).
• Experience with distributed systems, backend architecture, or large-scale data pipelines.