# Agent Systems Engineer at adaption

Agent Systems Engineer at adaption in San Francisco. Hybrid, full-time. Posted September 24, 2026.

- Company: adaption
- Location: San Francisco
- Workplace: Hybrid
- Job type: Full-time
- Experience: 5+ years
- Posted: 2026-09-24
- Apply: https://jobs.ashbyhq.com/adaption/23ae2f19-4917-4e6a-8e0d-0e928c531019/application
- Source: https://jobmagic.ai/jobs/agent-systems-engineer-adaption-y6pp0z

## Requirements

- 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.

## Description

### The Role

You'll build the agent systems at the core of our product. These systems turn customer goals into reliable, multi-step execution across real tools and services.
This is not about building demos. You'll work on agents that operate under real constraints: incomplete information, external failures, limited budgets, and unpredictable traffic. You'll own how they plan, use tools, recover from errors, and improve over time.

### 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.

### 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. You don't need to be perfect, but you do need to be adaptable. We encourage you to apply, even if you don't check every box.
 

### **About us**

Most AI is frozen in place - it doesn't adapt to the world. We think that's backwards. Our mandate is to build efficient intelligence that evolves in real-time. Our vision is AI systems that are flexible, personalized, and accessible to everyone. We believe efficiency is what makes this possible - it's how we expand access and ensure innovation benefits the many, not the few. We believe in talent density: bringing together the best and most driven individuals to push the boundaries of continual adaptation. We're looking for builders and creative thinkers ready to shape the next era of intelligence.
 

### **Benefits**

- **Flexible work**: In-person collaboration in the Bay Area, a distributed global-first team, and team offsites.

- **Adaption Passport**: Annual travel stipend to explore a country you've never visited. We're building intelligence that evolves alongside you, so we encourage you to keep expanding your horizons.

- **Lunch Stipend: **Weekly meal allowance for take-out or grocery delivery.

- **Well-Being**: Comprehensive medical benefits and generous paid time off.