Agent Systems Engineer

The role

You will build agent systems that turn customer goals into reliable, multi-step execution across real tools and services. You will design agent architectures, improve reliability, and develop evaluations to measure performance.

What you will do

• Design agent architectures for planning, reasoning, tool use, memory, and integration with external systems and data
• Improve reliability on long-running, multi-step tasks, including failure recovery
• Build the loops that let agents improve with real use
• Develop evaluations that measure agent performance and resist being gamed
• Make practical tradeoffs between quality, latency, cost, and complexity

Required qualifications

• 5+ years building production ML or backend systems, including taking LLM or agent applications from prototype to production
• Strong understanding of agent design: planning, reasoning, tool use, orchestration, and memory
• Experience building rigorous evaluation systems, plus execution tracing and observability for agents, with a focus on reproducibility
• Familiarity with the OpenAI Responses API, MCP, and server- versus client-side execution

Benefits

• Innovative culture
• Growth paths
• Adaption Passport: An annual travel allowance to explore somewhere new
• Weekly allowance for takeout or grocery delivery
• High-quality medical coverage and benefits
• Team offsites and visits to SF HQ

About the company

adaption builds efficient intelligence that evolves in real-time. The team is small, talent-dense, and operates with high velocity and extreme ownership.