About the job
We're looking for product-minded software engineers to join a team that is addressing emerging risks at the frontier of model development while building novel solutions for real-world AI deployment. The day-to-day work ranges from solving production challenges to designing new product experiences and safeguards. The right candidate is comfortable balancing tradeoffs across developer experience, latency, reliability, and risk.
Responsibilities
- Design and build dashboards and APIs for safety controls and customer-facing observability.
- Develop scalable systems that extend trusted safety capabilities to new use cases, customers, and deployment environments.
- Partner with Safety Research and Integrity to build safeguards that mitigate emerging risks.
- Be responsible for the availability, latency, and scalability of safeguards across high-volume API traffic.
- Own projects from technical design and implementation through launch and ongoing iteration, while raising the team’s engineering standards
Qualifications
Minimum
- 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.
Preferred
- 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.