Agent Engineer
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Job Description
LLM agent engineer discussing production reliability, evaluation, and adoption with Mercor. Completing conversational and live interviews based on real agent-operating experience.
Responsibilities:
- Build and operate LLM agents in production
- Assess agent reliability, evaluation, and adoption
- Operate scheduled jobs, long-running agent work, and cloud sandboxes
- Analyze internal assistant adoption and usage
- Work with company data, shared memory, reusable skills and playbooks, tool and MCP surfaces
- Understand how to observe agent actions and costs
- Complete a short conversational AI interview
- Participate in a live 30-minute conversation with the Mercor team
Requirements:
- Experience building and operating LLM agents in production
- Shipped an agent used by real users and taken responsibility when it broke
- Experience evaluating whether an agent improved or worsened after a change
- Experience operating agents beyond a single request, including scheduled jobs, long-running work, or cloud sandboxes
- Visibility into internal assistant adoption within an organization
- Experience with internal monoagents connected to company data, shared company memory, reusable skills and playbooks, agent tool and MCP surfaces, and agent observability and cost tracking
- Ability to complete a conversational AI interview
- No coding or take-home assignment required
- Must be a qualified applicant; reasonable accommodations available upon request
Benefits:
- $100 to $500 for the live 30-minute conversation, paid on completion of the call
- Referral payments of up to $250 for each successful referral
- Reasonable accommodations upon request
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