Software Engineer, API Safety

Highlights

• Design dashboards and APIs for safety controls and observability.
• Build scalable safeguards for frontier model launches in high-volume API.
• Partner with Safety Research to mitigate emerging AI risks.

What they offer

• Equity

Ideal candidate

Product-minded backend engineer with 7+ years building production systems who balances developer experience with reliability and cares about deploying frontier AI safely and responsibly.

Requirements

• 7+ years of professional experience, excluding internships, in backend, infrastructure, platform, or product engineering roles.
• A track record of designing, building, and operating production backend services, developer-facing APIs, or distributed systems.
• Strong software engineering and systems fundamentals, with experience leading technically complex projects from ambiguous ideas to production.
• Proficiency in one or more general-purpose backend languages, such as Python, Go, Rust, or TypeScript.
• Experience building reliable, scalable systems and reasoning about distributed architecture, concurrency, latency, observability, and operational tradeoffs.
• Product judgment and developer empathy, including an ability to turn complex model or infrastructure capabilities into clear, intuitive APIs.
• Clear communication and a collaborative approach to working with researchers, product managers, designers, infrastructure engineers, and customers.
• Experience with observability, abuse prevention, trust and safety, identity, security, privacy, compliance, or risk systems is a strong plus.
• Interest in helping frontier AI reach more developers and businesses responsibly.