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Entry Level Remote Mechatronics Engineer Jobs in Toronto, ON

LLM Agent Engineer - Specialist

Toronto, ON · Remote

CA$100 - CA$500/hr

Agent Engineer Type: Contract Compensation: $100-$500/hour Location ... Remote Role Responsibilities * Build and operate LLM agents in production environments. * Ensure ...

Entry Level Remote Mechatronics Engineer information

What is the difference between Entry Level Remote Mechatronics Engineer vs Entry Level Remote Robotics Technician?

AspectEntry Level Remote Mechatronics EngineerEntry Level Remote Robotics Technician
Required CredentialsBachelor's in Mechatronics, Robotics, or Electrical EngineeringAssociate's or Bachelor's in Robotics, Electronics, or related field
Work EnvironmentDesign, develop, and test integrated mechanical and electronic systems remotelyMaintain, troubleshoot, and repair robotic systems remotely or on-site
Employer & Industry UsageManufacturing, automation, aerospace, and research companiesManufacturing plants, automation firms, and robotics service providers

While both roles involve working with robotic systems, the Entry Level Remote Mechatronics Engineer focuses on designing and developing integrated systems, whereas the Entry Level Remote Robotics Technician primarily handles maintenance and troubleshooting. Both roles require technical knowledge, but engineers typically have a stronger emphasis on design and development, often with a bachelor's degree, while technicians focus on operational support and repairs.

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LLM Agent Engineer - Specialist

Toronto, ON • Remote

CA$100 - CA$500/hr

Full-time

Posted 10 days ago


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.
  • 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: support@mercor.com

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