Agent Operations Engineer - Fully Remote | Upto $500/task Task based
Budget / Salary$100–500
TypeContract
LocationIndia
Posted2 hours ago
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.
Ensure agent reliability and evaluate performance improvements.
Manage long-running processes like scheduled jobs and cloud sandboxes.
Develop internal monoagents and shared company memory systems.
Enhance agent visibility and cost tracking for organizational use.
Work independently and asynchronously to meet project goals.
Qualifications
Must-Have
Experience in building and operating LLM agents.
Proven track record of improving agent reliability and performance.
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
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.
Ensure agent reliability and evaluate performance improvements.
Manage long-running processes like scheduled jobs and cloud sandboxes.
Develop internal monoagents and shared company memory systems.
Enhance agent visibility and cost tracking for organizational use.
Work independently and asynchronously to meet project goals.
Qualifications
Must-Have
Experience in building and operating LLM agents.
Proven track record of improving agent reliability and performance.
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
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