Llm Agent Engineer - Production

Mercor; United Kingdom; Remote; GBP 85,000 - 122,000; Part time

Job summary

Mercor is seeking an Agent Engineer for a remote contract role. Compensation is $100–$500 per task, with work conducted remotely. You will build and operate LLM agents in production environments and drive improvements based on usage data.

You will manage long-running agents, including scheduled jobs and cloud sandboxes, while analyzing adoption patterns of internal assistants across organizations. Experience shipping agents and insight into internal adoption are essential.

Qualifications

• Experience shipping agents used by real users.
• Ability to assess agent performance improvements.
• Knowledge of long-running work and cloud sandboxes.
• Insight into internal assistant adoption within organizations.

Responsibilities

• Build and operate LLM agents in production environments.
• Evaluate agent performance and determine improvements after changes.
• Manage long-running agents, including scheduled jobs and cloud sandboxes.
• Analyze adoption patterns of internal assistants within organizations.
• Focus on internal monoagents, shared memory, and reusable skills.
• Ensure visibility into agent actions and associated costs.

Skills

Ship real-user agents

Assess agent performance

Long-running work & sandboxes

Internal assistant adoption insights

Job description

About the job

Mercor connects elite creative and technical talent with leading AI research labs. Headquartered in San Francisco, our investors include Benchmark, General Catalyst, Peter Thiel, Adam D'Angelo, Larry Summers, and Jack Dorsey.

Position: Agent Engineer
Type: Contract
Compensation: $100–$500 per task
Location: Remote

Role Responsibilities

• Build and operate LLM agents in production environments.
• Evaluate agent performance and determine improvements after changes.
• Manage long-running agents, including scheduled jobs and cloud sandboxes.
• Analyze adoption patterns of internal assistants within organizations.
• Focus on internal monoagents, shared memory, and reusable skills.
• Ensure visibility into agent actions and associated costs.

Qualifications

Must-Have

• Experience shipping agents used by real users.
• Ability to assess agent performance improvements.
• Knowledge of long-running work and cloud sandboxes.
• Insight into internal assistant adoption within organizations.

Interview Process

• Initial short conversational AI interview; no coding or take-home tasks.
• Live 30-minute conversation with our team.
• Compensation of $100 to $500 for the conversation, based on experience.