Shape agentic AI engineering at Clio through LLM expertise and team leadership. Help create solutions grounded in customers’ real legal data.

Clio is seeking a Manager, Machine Learning Engineering to lead work across GenAI, LLMs, and agentic systems. The team builds workflows where models reason over context, use tools, and take multi-step actions. You will support reliable production systems while partnering with MLOps, product management, operations, and data science.

Key Responsibilities:
Design and ship agentic workflows for Clio customers
Develop retrieval, tool-use, orchestration, and evaluation approaches
Evaluate ML and LLM products, vendors, and solutions
Collaborate with distributed engineering teams across three countries




Teach, learn, and provide constructive feedback

Requirements:
In-depth knowledge of agentic systems and LLM technology
Experience evaluating ML and LLM products technically
Familiarity with prompt and context design
Experience evaluating agent behaviour at scale
Agile mentorship experience with large-scale SaaS products

Bring agentic AI leadership, LLM evaluation expertise, and practical workflow knowledge to Clio’s machine learning engineering team.
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📌 Agentic Ai Engineering Manager Clio Toronto
🏢 Clio
📍 Toronto