Shape the future of LLM agents by working on production-facing systems. We're looking for engineers who understand the intricacies of agent usability and long-term performance.
This role involves the development and management of reliable LLM agents crucial for users within the company. Candidates should demonstrate a record of effective performance evaluation, user dependency, and insights into agent adoption challenges. You'll dive into complex topics such as internal monoagents and company memory, focusing on practical outcomes and operational efficiency.
Key Responsibilities:
• Launch and manage LLM agents with production reliance
• Assess improvements in performance and reliability
• Operate cloud sandboxes and ongoing tasks




• Observe and report on assistant usage trends
• Assess cost-effectiveness of agent processes
Requirements:
• Experience with production-grade AI agents
• Robust grasp of agent evaluation methodologies
• Ability to analyze and track internal adoption
• Relevant experience in integrating with organizational data
• Effective storyteller to share experiences
Leverage your experience to enhance performance and reliability in real-world applications of LLM agents.
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📌 Production LLM Agent Engineer Role (Toronto)
🏢 Mercor
📍 Toronto