# Agent Systems Engineer

**Company:** [Adaption Labs](https://hotfix.jobs/companies/adaption-labs)
**Location:** San Francisco, CA
**Role:** ML Engineering
**Experience:** 5+ years
**Skills:** Machine Learning, Backend Systems, LLMs, Agent Architecture, Planning, Reasoning, Tool Use, Orchestration, Memory Systems, Evaluation Systems, Observability, Openai Responses Api, Mcp, Execution Tracing
**Posted:** 2026-08-21

> Build production agent systems that plan, use tools, recover from failures, and improve over time. The role requires 5+ years of production ML or backend experience, LLM or agent deployment experience, and expertise in evaluation, tracing, observability, and agent architecture.

## Job Description

## Responsibilities
- Design agent architectures for planning, reasoning, tool use, memory, and integration with external systems and data.
- Improve reliability for long-running, multi-step tasks, including failure recovery.
- Build feedback loops that enable agents to improve through real-world use.
- Develop rigorous evaluations that measure agent performance and resist gaming.
- Make practical tradeoffs among quality, latency, cost, and complexity.

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

## Benefits
- Flexible work with in-person collaboration in the Bay Area, a distributed global-first team, and team offsites.
- Annual travel stipend to explore a country not previously visited.
- Weekly meal allowance for takeout or grocery delivery.
- Comprehensive medical benefits and generous paid time off.

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