Senior Staff Software Engineer, Enterprise AI Platform

What you'll do

• Design agent blueprints with clean interfaces for authorization, sandboxing, memory, and observability.
• Build a runtime safety harness featuring policy engines, rate limits, circuit breakers, and kill switches.
• Develop multi-agent orchestration systems to support delegation, handoffs, and long-running autonomous tasks.
• Broker credentials to enable secure authentication and least-privilege scoping for multi-agent systems.
• Implement checkpoint and recovery mechanisms to ensure agents resume cleanly after crashes or restarts.
• Instrument decision-level traces and cost anomaly alerts to monitor agent behavior and performance.
• Create self-improving loops that turn production telemetry and evaluation signals into actionable insights.
• Maintain the health and reliability of the production platform through an on-call rotation.

What we're looking for

• BS or MS in Computer Science, Engineering, or a related field (or equivalent experience).
• 12+ years of experience building distributed systems, infrastructure, or developer platforms at scale.
• Hands-on experience building agents on a harness, exposing them as APIs, and shipping them with CI/CD.
• Experience deploying and operating long-running services on container orchestration platforms.
• Experience with scalable system building blocks including messaging, caching, and durable storage.
• Proficiency in Python, Go, Rust, or similar languages.
• Built a safety or policy engine that enforces rules on agent actions at runtime (preferred).
• Designed evaluation and feedback loops for agent behavior tied to versioned skills or blueprints (preferred).