Agent Engineer

Mercor

. Build and operate LLM agents in production .

Posted 10/26/2026contractRemote • United StatesMid-LevelSenior💰 $100 - $500 per hourWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and operating LLM agents in production, with a strong focus on evaluating agent performance and adoption within organizations. Proficient in managing scheduled jobs, long-running work, and ensuring agent reliability and observability.

Highest-signal resume keywords

LLM Agent DevelopmentAgent Performance EvaluationScheduled Job ManagementInternal Monoagents ExperienceAgent Observability

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

LLM Agent DevelopmentAgent Performance EvaluationScheduled Job ManagementInternal MonoagentsCloud Sandbox OperationsReusable Skills and PlaybooksTool and MCP SurfacesAgent Reliability AssessmentCost VisibilityUser Adoption Analysis

Industry Keywords

Conversational AIAgent ReliabilityReal-System TradeoffsInternal Assistant AdoptionAgent Observability

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Build and operate LLM agents in production
Assess how agents are used by real users inside a company
Evaluate agent performance following changes
Operate scheduled jobs, long-running agent work, and cloud sandboxes
Analyze adoption of internal assistants
Work with internal monoagents, company data, shared memory, reusable skills and playbooks, tool and MCP surfaces
Improve visibility into agent actions and costs
Participate in a conversational AI screening interview
Participate in a live 30-minute team conversation if selected

Requirements

What you’ll need

Experience building and operating LLM agents in production
Shipped an agent relied on by real users and taken responsibility when it failed
Ability to evaluate 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, tool and MCP surfaces, and agent observability/costs
Ability to discuss agent reliability, evaluation, adoption, and real-system tradeoffs
Must complete a short conversational AI interview with no coding or take-home assignment
Must complete a live 30-minute conversation if invited

Benefits

Comp & perks

$100 to $500 payment for the live 30-minute conversation, paid on completion, depending on depth of experience
Up to $250 for each successful referral through the referral link