Found Description
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...