LLM Agent Engineer - Production - AI Trainer
Job Description
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.
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: [email protected]
PS: Our team reviews applications daily. Please complete your AI interview and application steps to be considered for this opportunity.
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