ML Ops / Agent Ops Engineer

Overview

ML Ops / Agent Ops Engineer — Location: Toronto (Hybrid - 3 days in office). Experience: 12+ years.

Please note , this role is not able to offer visa transfer or sponsorship now or in the future.

Responsibilities

• Design and implement AI agents using frameworks such as LangGraph, CrewAI, AutoGen, or LangChain
• Build and optimize Retrieval-Augmented Generation (RAG) pipelines for knowledge retrieval and contextual reasoning
• Develop Python-based API clients for integrating LLM services
• Work with Anthropic Claude API and/or OpenAI Agents SDK , including tool use and system prompts
• Implement prompt engineering strategies , including versioning and evaluation
• Establish and manage MLOps/AgentOps pipelines for deployment and monitoring
• Integrate...