AI Engineer, Agent Infrastructure
On-site · San Francisco, California, United States
Job Summary
Own the infrastructure layer behind production AI agents: build and own the execution layer for agents, including task orchestration, tool calling, and state management; define how agents interact with internal systems and external APIs; design sandboxed environments and permissioning models for safe execution; build evaluation, monitoring, and debugging infrastructure for agent behavior in production; integrate agents into real product workflows with reliability and performance considerations.
Required Qualifications
- Direct experience shipping production LLM or agent systems end-to-end — orchestration, evaluation, reliability
- Strong backend or infrastructure engineering foundation (distributed systems, APIs, platform engineering)
- Experience with workflow orchestration, automation systems, or agent frameworks
- Familiarity with evaluation and observability loops for AI systems
- Ability to think across both infrastructure concerns and product behavior
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