Production Agent Systems Engineer - Robust AI Orchestration

Adaption Labs, Inc.; San Francisco (CA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Flexible work

Adaption Passport

Lunch stipend

Well-Being

Job summary

Adaption Labs, Inc. in the San Francisco Bay Area is seeking a senior ML/backend engineer to design and build agent systems that translate customer goals into reliable, multi-step executions across real tools and services.

You will own planning, tool orchestration, memory management, failure recovery, and continuous improvement of long-running tasks, with an emphasis on reproducibility and observability. Join a flexible, globally distributed team; in-person collaboration in the Bay Area, plus

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.
• Above all, we're looking for great teammates who make work feel lighter and aren't afraid to go out on a limb with bold ideas.

Responsibilities

• 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, so performance compounds instead of staying frozen.
• Develop evaluations that measure agent performance and resist being gamed.
• Make practical tradeoffs between quality, latency, cost, and complexity.

Skills

Production ML

Backend architecture

Agent design

Observability

Tool orchestration

Tools

OpenAI Responses API

MCP

Job description

Adaption Labs, Inc. in the San Francisco Bay Area is seeking a senior ML/backend engineer to design and build agent systems that translate customer goals into reliable, multi-step executions across real tools and services.

You will own planning, tool orchestration, memory management, failure recovery, and continuous improvement of long-running tasks, with an emphasis on reproducibility and observability. Join a flexible, globally distributed team; in-person collaboration in the Bay Area, plus