Job Title: . Senior AI Agent Engineer (Agentic AI & Multi-Agent Systems)

Job Location: Montreal, QC (3days onsite in a week)

Job Duration: Long Term

Role Summary

We are seeking a Senior AI Agent Engineer (around 6 to 8 years of experience) to design, develop, and deploy enterprise-grade AI agents and multi-agent systems using modern agentic AI frameworks. The ideal candidate should have hands-on experience with Amazon Bedrock, AgentCore, LangChain, LangGraph, MCP, and AI agent design patterns.

Key Responsibilities

- Design and develop autonomous AI agents and multi-agent workflows.
- Build agentic applications using Amazon Bedrock, AgentCore, LangChain, LangGraph, and Strands Agents SDK.
- Implement orchestration, planning, memory management, and tool-calling capabilities.
- Design and integrate Model Context Protocol (MCP) based solutions.
- Create scalable agent architectures following industry best practices and agent design patterns.




- Collaborate with product and engineering teams to translate business requirements into AI-driven solutions.
- Evaluate and optimize LLM performance, reliability, and safety.

Required Skills

- Solid Python development experience.
- Hands-on experience with Amazon Bedrock and AgentCore.
- Expertise in LangChain and LangGraph.
- Experience with Strands Agents SDK or similar agent frameworks.
- Deep understanding of AI Agent Design Patterns.
- Experience implementing Multi-Agent Systems.
- Knowledge of MCP (Model Context Protocol).
- Strong understanding of prompt engineering and LLM orchestration.

Preferred Qualifications

- Experience with cloud-native deployments on AWS.
- Exposure to RAG-based architectures.
- Familiarity with observability, evaluation, and monitoring of AI agents.
- Knowledge of productionizing GenAI applications.

📌 AI Agent Engineer (Montreal)
🏢 Apptad
📍 Montreal