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/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.

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:

- For any help or support, reach out to:

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

Originally posted on Himalayas