At a Glance
- Tasks: Build and operate LLM agents that enhance company operations and user experience.
- Company: Join a forward-thinking tech company focused on innovative AI solutions.
- Benefits: Competitive pay, flexible hours, and opportunities for professional growth.
- Other info: Engaging work environment with a focus on collaboration and creativity.
- Why this job: Be at the forefront of AI technology and make a real impact in the industry.
- Qualifications: Experience with LLM agents and a passion for AI development.
We are looking for engineers who build and operate LLM agents in production, and who have real visibility into how agents are actually used inside a company.
You have probably
Shipped an agent that real users depended on, and been on the hook when it broke.
Figured out how to tell whether an agent got better or worse after a change.
Run agents that outlive a single request: scheduled jobs, long-running work, cloud sandboxes.
Watched your org build an internal assistant, and seen who adopted it and who quietly did not.
We are especially interested in the layers most people do not talk about: internal monoagents wired into company data, shared company memory, reusable skills and playbooks, the tool and MCP surfaces agents call, and how anyone sees what agents did and what they cost.
We pay $100 to $500 for that conversation, paid on completion of the call, with the amount depending on depth of experience.
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LLM Agent Engineer - Specialist in Toronto employer: Mercor
Mercor is an exceptional employer that fosters a dynamic and innovative work culture, connecting top-tier talent with leading AI research labs. With the flexibility of remote work, employees enjoy a supportive environment that encourages professional growth and collaboration across diverse teams. The competitive compensation and the opportunity to engage in high-impact projects make Mercor a rewarding place for legal experts looking to make a meaningful contribution.
