Design enterprise AI agents in Montreal with Python, Amazon Bedrock, LangChain, and LangGraph, working onsite three days weekly.
This senior role seeks six to eight years of experience building autonomous agents and multi-agent systems. You will develop agentic applications with AgentCore, Strands Agents SDK, MCP, and established design patterns. The work translates business requirements into AI-driven solutions.
Key Responsibilities: Design autonomous AI agents and multi-agent workflows
Build applications using Bedrock, AgentCore, LangChain, and LangGraph
Implement planning, memory, orchestration, and tool calling
Integrate Model Context Protocol based solutions
Optimize LLM performance, reliability, and safety
Requirements: Six to eight years of relevant experience
Solid Python development experience
Hands-on Amazon Bedrock and AgentCore experience
LangChain, LangGraph, and agent framework expertise
Understanding of MCP, prompt engineering, and LLM orchestration
Apply Python, agent design patterns, and multi-agent expertise to enterprise AI development in Montreal, with onsite collaboration required.

#J-18808-Ljbffr

📌 Senior AI Agent Engineer Montreal (Quebec City)
🏢 Apptad
📍 Quebec City