Concevoir et développer des agents d'IA autonomes ainsi que des flux de travail multi-agents.

Développer des applications agentiques à l'aide d'Amazon Bedrock, AgentCore, LangChain, LangGraph et du SDK Strands Agents.

Mettre en œuvre des fonctionnalités d'orchestration, de planification, de gestion de la mémoire et d'appel d'outils.

Concevoir et intégrer des solutions fondées sur le protocole MCP (Model Context Protocol).

Créer des architectures d'agents évolutives, conformément aux meilleures pratiques du secteur et aux modèles de conception d'agents.

Collaborer avec les équipes produit et d'ingénierie afin de traduire les exigences commerciales en solutions fondées sur l'intelligence artificielle.

Évaluer et optimiser les performances, la fiabilité et la sécurité des grands modèles de langage (LLM).

Solide expérience en développement Python.

Expérience pratique d'Amazon Bedrock et d'AgentCore.

Expertise de LangChain et LangGraph.

Expérience du SDK Strands Agents ou de frameworks d'agents similaires.

Compréhension approfondie des modèles de conception d'agents d'IA.

Expérience dans la mise en œuvre de systèmes multi-agents.

Connaissance du protocole MCP (Model Context Protocol).

Excellente compréhension de l'ingénierie des prompts et de l'orchestration des LLM.

Expérience des déploiements cloud natifs sur AWS.

Connaissance des architectures fondées sur le RAG.

Familiarité avec l'observabilité, l'évaluation et la surveillance des agents d'IA.

Connaissance de la mise en production d'applications d'IA générative.





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.

Strong 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).

Robust understanding of prompt engineering and LLM orchestration.

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.

A multinational organization with 58 offices in 22 countries and the possibility to work abroad.

15 days (3 weeks) of paid annual leave plus an additional 10 days of personal leave (floating days and sick days).

A comprehensive insurance plan including medical, dental, vision, life insurance, and long-term disability.

Flexible hybrid policy.

RRSP with employer's contribution up to 4%.

A higher education certification policy.

On-demand Udemy for Business for all Synechron employees with free access to more than 5000 curated courses.

Coaching opportunities with experienced colleagues from our Financial Innovation Labs (FinLabs) and Center of Excellences (CoE) groups.

Cutting edge projects at the world's leading tier-one banks, financial institutions and insurance firms.

A truly diverse, fun-loving and global work culture.For more information on the company, please visit our or community.At Synechron, we are committed to integrating sustainability into our business strategy, ensuring responsible growth while minimizing environmental impact. Employees play a key role in driving our sustainability initiatives, from reducing our carbon footprint to fostering ethical and sustainable business practices across global operations. All positions are required to adhere to our Sustainability and Health Safety standards, demonstrating a commitment to environmental stewardship, workplace safety, and sustainable practices.

📌 Python AI Engineer (Montreal)
🏢 Synechron
📍 Montreal