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

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.

Application Process (Takes 20–30 mins to complete)

• Upload resume
• AI interview based on your resume
• Submit form

Resources & Support

• For details about the interview process and platform information, please check: https://talent.docs.mercor.com/welcome
• For any help or support, reach out to: [email protected]

PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.