LLM Agent Engineer - Production

Mercor; Berlin; On-site; EUR 90,000 - 150,000; Full time

Job summary

Mercor in Berlin seeks engineers who build and operate LLM agents in production with clear visibility into usage inside a company.

You likely shipped an agent that real users depended on and understand how to tell if changes improve or worsen performance. We value experience with long-running agents, scheduled jobs, and internal surfaces that expose costs and usage.

Qualifications

• Shipped an agent that real users depended on.
• Experience measuring agent performance after changes.
• Familiar with deploying agents in production environments.

Responsibilities

• Build and operate LLM agents in production.
• Evaluate agent reliability, cost, and impact.
• Collaborate to improve adoption and measurable outcomes.

Skills

LLM agents

Agent reliability

Evaluation

Adoption

Job description

We are looking for engineers who build and operate LLM agents in production, and who have real visibility into how agents are actually used inside a company.

You have probably:

• Shipped an agent that real users depended on, and been on the hook when it broke.
• Figured out how to tell whether an agent got better or worse after a change.
• Run agents that outlive a single request: scheduled jobs, long-running work, cloud sandboxes.
• Watched your org build an internal assistant, and seen who adopted it and who quietly did not.

We are especially interested in the layers most people do not talk about: internal monoagents wired into company data, shared company memory, reusable skills and playbooks, the tool and MCP surfaces agents call, and how anyone sees what agents did and what they cost.

Applying starts with a short conversational AI interview. No coding, no take-home. We want to hear how you actually think about agent reliability, evaluation, and adoption, and the tradeoffs you have made in real systems. Bring war stories. The messier and more specific, the better.

If that screen stands out, we will invite you to a live 30 minute conversation with our team. We pay $100 to $500 for that conversation, paid on completion of the call, with the amount depending on depth of experience.