Top Tech Jobs & Startup Jobs in Montreal

Conçoit et met en production des systèmes d’IA agentique, notamment des agents multi-agents, pipelines LLM, applications RAG, assistants conversationnels et intégrations d’entreprise. Le rôle couvre les données, embeddings, recherche sémantique, évaluation des agents, optimisation des prompts, de la latence et des coûts, ainsi que l’automatisation des tests et des correctifs. Trois profils sont recherchés : ingénierie logicielle IA, ingénierie de données IA et science des données IA, en mode hybride à Montréal.

Develops accessible, responsive, and high-performance frontend applications with React and TypeScript. Responsibilities include technical architecture, API integration, debugging, profiling, performance optimization, Agile collaboration, coding best-practice sharing, mentoring new team members, and community participation. The role is based in Montreal with hybrid work and includes international relocation support.

Develop backend software for major Canadian technology projects, contribute to technical architecture, and work in Agile environments. Share development best practices, promote clean code and testing, mentor new team members, participate in technical evaluations, and contribute actively to the Maplr community. The role requires strong Java and Spring experience, microservices knowledge, DevOps familiarity, cloud development experience, and a commitment to secure, high-quality software.

Évaluer, fine-tuner et optimiser des modèles d’IA générative et des LLM pour des cas d’usage bancaires. Concevoir des prompts, mesurer la performance avec DeepEval ou RAGAS, assurer le monitoring en production et déployer les modèles sur AWS Bedrock avec Terraform. Collaborer avec des analystes et développeurs, vulgariser les concepts complexes et partager les bonnes pratiques en IA.

Develop full-stack applications using Python, React, and AWS from architecture through production deployment. Work in an Agile environment, contribute to cloud and DevOps practices, promote clean code and automated testing, share development best practices, mentor new team members, and participate actively in the Maplr community. The role is based in Montreal with hybrid flexibility and includes international relocation support.

Coordinate quality assurance for large-scale payment modernization initiatives. Develop and manage overall test strategies, review application quality plans, coordinate QA specialists and test environments, schedule system testing, track quality metrics, assess risks, and create or review test cases and scripts. Execute manual and automated tests as needed while collaborating with architecture, delivery, business teams, and suppliers.

Analyzes business and user needs, translates requirements into functional specifications, collaborates with technical and business teams, documents processes and use cases, coordinates functional and UAT testing, validates delivered solutions, diagnoses functional gaps, and supports project progress and evolving requirements. The role requires strong analytical, communication, documentation, Agile tool, testing, and bilingual French-English skills.

Développe des solutions Java fullstack performantes et évolutives, produit du code de qualité dans des équipes agiles, contribue aux pratiques CI/CD et cloud, et partage ses connaissances avec ses collègues. Le poste implique la conception technique, le développement front-end et back-end, la collaboration avec les équipes et la participation à des projets technologiques d’envergure au Canada.

Develop and deploy AI agents, ERP and third-party integrations, and core platform features using Go and Python. Work directly with clients to understand financial workflows, translate business needs into production code, and customize agents for client-specific processes. Responsibilities include API integration, performance and architecture improvements, agent instruction design, testing, and technical collaboration with company founders.

Développer des solutions Java Spring pour des projets technologiques canadiens, contribuer à l’architecture microservices et travailler en environnement Agile. Promouvoir le code propre, les pratiques TDD et les bonnes pratiques de développement. Participer aux initiatives DevOps et cloud, partager son expertise, former les nouveaux membres et contribuer activement à la communauté Maplr.