Agent Engineer

Mercor

. Build and operate LLM agents in production .

Posted 10/25/2026contractRemote • United StatesMid-LevelSenior💰 $100 - $500 per dayWebsite

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 tasks, and understanding internal monoagents and their integration with company data.

Highest-signal resume keywords

LLM Agent DevelopmentAgent Reliability AssessmentScheduled Job ManagementAgent ObservabilityCost Tracking

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

LLM Agent DevelopmentAgent Reliability AssessmentScheduled Job ManagementLong-Running Work ManagementAgent Performance Evaluation

Tools & Technologies

Cloud SandboxesInternal MonoagentsCompany Data IntegrationReusable SkillsPlaybooks

Industry Keywords

Conversational AIAgent AdoptionCost TrackingAgent Observability

Tech Stack

Tools & technologies

Cloud

About the role

Key responsibilities & impact

Build and operate LLM agents in production
Assess agent reliability, evaluation, and adoption
Run scheduled jobs, long-running agent work, and cloud sandboxes
Analyze how agents are used and adopted inside companies
Work with internal monoagents connected to company data, shared company memory, reusable skills and playbooks, and tool/MCP surfaces
Improve visibility into agent actions and costs
Complete 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 that real users depended on and handled production failures
Ability to evaluate whether an agent improved or worsened after a change
Experience running agents beyond a single request, including scheduled jobs, long-running work, or cloud sandboxes
Experience observing adoption of internal company assistants
Understanding of internal monoagents, company data, shared company memory, reusable skills and playbooks, tool and MCP surfaces, agent observability, and cost tracking
Must complete a short conversational AI interview
No coding or take-home assignment required
Must be available for a live 30-minute conversation if selected

Benefits

Comp & perks

$100 to $500 for the live 30-minute conversation, paid on completion of the call
Up to $250 for each successful referral through the unique referral link