Remote LLM Agent Engineer: Build & Optimize AI Agents

Mercor; San Francisco (CA); Hybrid; GBP 85,000 - 121,000; Part time

Job summary

Mercor is hiring an Agent Engineer for remote work. You will build and operate LLM agents in production, evaluate performance, and manage long-running agents and cloud sandboxes. You’ll analyze adoption patterns of internal assistants and focus on monoagents, shared memory, and reusable skills.

The role includes ensuring visibility into agent actions and costs, with compensation between $100 and $500 per task for experienced candidates. This is a contract, remote position.

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.

Job description

Mercor is hiring an Agent Engineer for remote work. You will build and operate LLM agents in production, evaluate performance, and manage long-running agents and cloud sandboxes. You’ll analyze adoption patterns of internal assistants and focus on monoagents, shared memory, and reusable skills.

The role includes ensuring visibility into agent actions and costs, with compensation between $100 and $500 per task for experienced candidates. This is a contract, remote position.