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# Agent Systems Engineer

- **Company:** ADAPTION LLC
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Systems Engineering, Large Language Models, Backend
- **Published:** August 24, 2026
- **Apply:** https://arc.dev/remote-jobs/j/redirect/pelbkb5e3s

## About the Role

* 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.

## Description

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.


## Related Videos

- [On a Secret Mission: Developing AI Agents](https://www.wearedevelopers.com/videos/1510-on-a-secret-mission-developing-ai-agents)
- [Developing the Backend with Stefan Lingler, CTO at Shpock](https://www.wearedevelopers.com/videos/100360-developing-the-backend-with-stefan-lingler-cto-at-shpock)
- [Model Based Systems Engineering in an Agile Product Development Process](https://www.wearedevelopers.com/videos/68-model-based-systems-engineering-in-an-agile-product-development-process)
- [Creating Industry ready solutions with LLM Models](https://www.wearedevelopers.com/videos/899-creating-industry-ready-solutions-with-llm-models)
- [Headless by Design: Building Enterprise Systems That Agents Can Actually Use](https://www.wearedevelopers.com/videos/100092-headless-by-design-building-enterprise-systems-that-agents-can-actually-use)
- [Nest.js - TypeScript in the backend can also be clean](https://www.wearedevelopers.com/videos/1033-nest-js-typescript-in-the-backend-can-also-be-clean)

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- [What Are Large Language Models?](https://www.wearedevelopers.com/magazine/304-what-are-large-language-models)
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