First seen by our source: 20 days ago
LLM Agent Engineer - Specialist
@ Mercor
Toronto, Ontario
Overview
Mercor is hiring a contract Agent Engineer to build and operate LLM agents in production environments. The work covers agent reliability, performance evaluation, long-running processes such as scheduled jobs and cloud sandboxes, and internal memory and cost-tracking systems. Pay is $100 to $500 per hour, remote, working independently and asynchronously.
Pay:
$100–$500 an hour
Responsibilities:
- Build and operate LLM agents in production
- Ensure agent reliability and evaluate performance
- Manage scheduled jobs and cloud sandboxes
- Develop internal monoagents and shared memory systems
- Enhance agent visibility and cost tracking
Requirements summary:
- Experience building and operating LLM agents
- Proven track record improving agent reliability and performance
Tools & skills
Source and dates
Source type not verified · manatal
- Employer posting date
- Not provided
- First seen by our source
- 2026-10-17
- Source record updated
- 2026-10-17
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Department | Software development |
| Travel | air: none · ground: none |
| Work setting | Home |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Mercor
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
We connect human expertise with leading AI labs and enterprises to train frontier models.
Full company description
Mercor is defining the future of work. We connect human expertise with leading AI labs and enterprises to train frontier models.
- LinkedIn followers
- 654,507
- People associated on LinkedIn
- 5,250
- Reported office locations
- San Francisco, California 94105, US
- Business categories
- Employment
- Software
- Recruiting
- Data Collection and Labeling
- Artificial Intelligence (AI)
- Machine Learning
- Other recorded names
- Mercor
- Profile identifies a recruitment agency
- Yes
- Reported total investment
- 483,600,000
Currency and observation date were not supplied; this is not a current valuation or a funding round.
Mercor is defining the future of work. We connect human expertise with leading AI labs and enterprises to train frontier models.
| Field | Value |
|---|---|
| Industry | Software Development |
| Company size | 51-200 employees |
| Headquarters | San Francisco, California |
| Organization type | Privately Held |
| Year founded | 2023 |
| Open jobs on Jobsy | 1,626 |
| View page |
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: 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.
Journal
Only you can see this. Kept on this device, and in your account when you sign in.