LLM Systems Engineer - Fully Remote | Upto $500/task Task based

mercor; San Francisco (CA); Hybrid; GBP 104,000 - 521,000; Full time

Job summary

Mercor connects elite creative and technical talent with leading AI research labs. This remote Agent Engineer role focuses on building and operating LLM agents in production environments.

The contract position offers compensation between $100 and $500 per hour, with remote work and opportunities to influence adoption of internal assistants across organizations.

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

Agent production

Performance evaluation

Cloud sandboxes

Internal adoption insight

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/hour 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.

Resources & Support

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