Agent Systems Engineer
Core
Build production agent systems that execute multi-step tasks across real tools and services under constraints like incomplete information and external failures.
Role type
Senior IC agent systems engineer
Builds
Reliable, multi-step agent execution loops that improve over time with real usage
Domain
AI Agents / LLM Orchestration / Production Systems
Deliverable
production ML models
Required skills
Agent design (planning, reasoning, tool use, orchestration, memory), Production ML/backend system development, Rigorous evaluation systems, Execution tracing and observability, Tradeoff analysis (quality, latency, cost, complexity)
Preferred skills
Experience with OpenAI Responses API, MCP, Server- vs client-side execution
Technologies
OpenAI Responses API, MCP
Responsibilities
Design agent architectures for planning, reasoning, tool use, memory, and external integration; Improve reliability on long-running tasks including failure recovery; Build feedback loops for continuous performance improvement; Develop robust evaluation metrics; Make practical tradeoffs between quality, latency, cost, and complexity
Seniority
Senior, hands-on IC