Top AI Jobs in Montreal

Lead and grow a team of engineers developing the AI Platform for enhancing enterprise products. Collaborate to deliver scalable and high-quality software solutions, ensuring engineering best practices and performance optimization.

Architect and maintain marketing databases and pipelines, implement data infrastructure for AI/ML, and manage data integration in a collaborative environment.

Lead AI Orchestration engineering at Zapier, managing teams to innovate AI solutions, shaping tech direction, and driving customer experience through applied AI engineering.

The role involves developing features for GitLab's AI-powered platform, advocating for quality improvements, and collaborating within a remote team.

Zapier seeks an Applied AI Engineer to develop AI-driven automation tools. Responsibilities include working with large language models and improving AI performance, scalability, and reliability.

The AI Research Infrastructure Engineer will design, build, and implement AI systems and automated data pipelines for research, focusing on workflow automation and integration with tech stacks.

As a Fullstack Engineer, you will build AI-assisted developer tools in GitLab Duo, working with TypeScript and Kotlin across various platforms, collaborating closely with engineering teams.

Manage a team of engineers, oversee project execution, partner with Product Managers, ensure high-quality software and Agile practices, and drive AI integration efforts.

Lead a team of engineers to design and implement AI features, improve user experience, and drive automation solutions with a focus on user needs and experimentation.

As a Senior Full Stack Engineer on the AI Tasks team at Zapier, you'll design and build user-friendly AI features, collaborate with cross-functional teams, and own projects from inception to deployment, with a focus on creating real-world applications of AI in automation.

Design and implement Python data pipelines and collaborate with finance leaders to enhance forecasting accuracy using AI techniques.

Architect and build scalable, secure cloud-native services and AI workflows. Define model strategies, establish standards, and partner with cross-functional teams.

Looking for a Senior Gameplay AI Programmer to develop AI systems for Unreal Engine 6 and enhance Fortnite's gameplay, using C++ and Machine Learning.

Design and develop full-stack applications for GenAI, focusing on efficient code in Python and TypeScript while maintaining system scalability and reliability.

As a Senior AI Programmer, you will create and maintain AI systems for projects, collaborate with teams, and optimize gameplay features.

As a Senior Software Engineer in AI, you'll design and build AI solutions, collaborating across teams to drive AI adoption and improve efficiency, focusing on large language models and automation.

The Senior Fullstack AI Developer designs and develops back-end components, optimizes AI-driven platform performance, mentors team members, and ensures quality development.

Seeking a Senior Software Developer for AI teams. Responsibilities include software development lifecycle, AI integration, scalability, and collaboration on intelligent software solutions.

The AI Developer II role involves developing microservices, APIs, and AI-based software products, collaborating with data scientists, and integrating DevOps practices.

As an Applied AI Intern, you will improve AI agent performance, design evaluation sets, and conduct applied AI research for enterprise-grade AI agents.

As a Software Engineering Architect, you will design and build enterprise-level, cloud-native systems, utilizing AI and machine learning, while leading development efforts and collaborating in a dynamic environment.

The AI Software Engineer will train large-language models, compare code snippets, and provide feedback to improve AI-generated code. Requires strong C++ skills and attention to detail.

As an AI Software Engineer, you'll help train large-language models in Rust by comparing code snippets, repairing AI-generated code, and providing feedback to enhance model learning.

Help train large-language models to write production-grade code by comparing, ranking, repairing, and refactoring AI-generated code, while providing feedback for reinforcement learning.

The role involves training large-language models by evaluating and refining code snippets, providing feedback, and maintaining an RLHF pipeline. Candidates need strong Python skills and code review expertise.