Backend Engineer, Enterprise AI

📋 Description

• Design, build, and operate backend services and APIs that support agent orchestration, model
• Develop production systems using tool use, agent loops, retrieval, prompt versioning, and agent
• Build and maintain integrations with document stores, ticketing systems, data platforms, and other
• Design data models, identity systems, permissions, and service boundaries that support secure
• Take features from architecture through implementation, testing, deployment, observability, and
• Create connectors, services, and agent capabilities that can be reused across customers rather than

🎯 Requirements

• Six or more years as a backend or full-stack engineer working on production SaaS or enterprise
• Deep experience with Python or TypeScript services, API design, asynchronous job systems, and
• Hands-on experience with OAuth, OIDC, SAML, or SCIM, as well as multi-tenant data modeling and
• Experience building production LLM features involving tool use, agent loops, retrieval, prompt
• Experience integrating with document stores, ticketing systems, data platforms, or other enterprise
• A track record of shipping LLM features used by paying customers and owning production systems

🎁 Benefits

• Work at the frontier of AI, helping the world’s leading AI labs improve their most advanced models
• Contribute to leading-edge AI research and showcase your work at top conferences such as ICLR
• Bring frontier AI innovation to the enterprise, applying lessons learned from leading AI labs to
• Collaborate with and learn from exceptional colleagues with deep AI experience from Google, Meta
• Move at the pace of AI innovation, with the speed, ownership, and impact of a startup.