Top AI Jobs in Montreal

The Senior Software Engineer will build core services and SDKs for production-grade systems, lead projects enhancing tools, and collaborate cross-functionally.

Contribute to fullstack features using JavaScript, Ruby, and Python, collaborating with teams for development, bug fixes, and performance enhancement.

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

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

The Senior Security Engineer will establish security frameworks for AI initiatives, manage non-human identities, and collaborate with cross-functional teams to ensure secure AI adoption across GitLab's internal tools.

Manage a team of AI engineers in developing AI-powered features, collaborating with various stakeholders while also contributing hands-on to the codebase.

As a Senior Engineer at 8am, you will design and implement AI features, collaborate with teams, and develop tools for AI deployment.

As a Full-Stack Software Developer, you will work on generative AI tools for the AEC industry, enhancing workflows and collaborating with cross-functional teams.

The software engineer will design and deploy AI-powered automation, enhance user experience, and implement LLM-backed features in collaboration with teams.

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

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

The role involves development and editing tasks using Unity. Candidates are expected to possess advanced skills in programming and content creation.

As a Senior Technical Artist at Unity, you will design and develop AI-driven workflows, collaborate on game creation, and optimize 3D models.

As a Software Developer, you will design and develop data pipelines for AI solutions, collaborating with teams on scalable distributed systems and ensuring software quality through tests and reviews.

The Cloud AI Architect designs and builds cloud infrastructure for AI solutions, focusing on DevOps methodologies, security compliance, and team collaboration.

Seeking an AI Programmer for a PC/Console game featuring Dungeons and Dragons. Responsibilities include designing AI systems, collaborating with teams, coding in C#, and optimizing AI performance.

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.

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

Seeking a versatile Senior Software Developer to enhance AI infrastructure via infrastructure-as-code practices, manage cloud services, and collaborate for best solutions across teams.

As a QA Annotator, you'll review data, ensure quality of annotations, label content, and flag inaccuracies for AI projects.

Develop and implement predictive AI features to enhance user experiences, including natural language understanding and personalized AI agents for software development.

The Atlassian Site Administrator will manage and optimize Miovision's Atlassian tools, leveraging AI for automation and workflow enhancements, alongside overseeing SnapLogic integrations.

As a Python and Kubernetes Software Engineer, you will develop data analytics solutions using open source tools, collaborating with a distributed team.

As a Staff Software Engineer, you'll create systems for AI capabilities, optimize LLM usage, and lead projects to enhance engineering quality by collaborating with product and infrastructure teams.

Lead the design and implementation of data architectures for generative AI initiatives, collaborating with teams and establishing best practices.