LLM Systems Engineer - Fully Remote | Upto $500/task Task based
mercor
United KingdomPosted about 1 month agoDiscoveredMatch locked
RemoteContractorData Science
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
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.
Must-Have
•
Experience shipping agents used by real users.
•
Ability to assess agent performance improvements.
•
Knowledge of long-running work and cloud sandboxes.
•
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
•
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
Skills
artificial-intelligencellm
Who can apply
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