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 contemporary agentic AI frameworks.

The ideal candidate should have hands-on experience with Amazon Bedrock, Agent

Core, Lang

Chain, Lang

Graph, MCP, and AI agent design patterns.

Key Responsibilities Design and develop autonomous AI agents and multi-agent workflows.

Build agentic applications using Amazon Bedrock, Agent

Core, Lang

Chain, Lang

Graph, 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 Agent

Core.

Expertise in Lang

Chain and Lang

Graph.

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).

Solid 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.

📌 Senior Ai Agent Engineer Agentic Ai & Multi Agent Systems Montreal (Canada)
🏢 Apptad
📍 Canada