Top AI Jobs in Montreal

Lead the QA and UAT testing strategy for projects, ensuring quality assurance activities align with user requirements and industry standards while fostering client relationships.

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.

The role involves building production-grade agent systems, designing scalable backend services, and collaborating with engineering teams on AI tools and blockchain technology.

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 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.

The Director of AI Engineering will lead Apollo's AI strategy, oversee the development of AI systems, and manage the AI Engineering team, ensuring alignment with business goals and enhancing engineering excellence.

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.

The Staff Developer Relations Engineer will teach and engage developers with AI tools through demos, workshops, content creation, and community programs, while collaborating across teams to enhance projects and programs.

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

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

The role involves designing and maintaining robust cloud-native infrastructure, developing scalable data pipelines, automating deployment, and integrating AI solutions to enhance decision-making and business efficiency.

As a Tech Lead in AI Software Development, you will lead system design, mentor developers, ensure quality delivery, and collaborate with cross-functional teams to deliver impactful AI solutions.

Develop AI systems for in-game characters, collaborate with game designers, optimize performance, and create debugging tools in C#. Requires extensive experience in game programming.

The Senior Software Engineer will develop and optimize backend systems for AI applications, focusing on text-to-speech technology, managing cloud infrastructure, and ensuring high availability.

Design, implement, and maintain gameplay systems in Unreal Engine, collaborating with teams to optimize performance and document code.

As a Senior Full Stack Engineer, you'll develop user-facing features and back-end infrastructure for AI agents, ensuring quality and scalability in a collaborative environment.

The role involves building end-to-end distributed LLM inference deployments, collaborating on features, and developing scalable ML infrastructure tools.

Design and implement a software stack for an NVIDIA Jetson embedded platform, integrating hardware and AI-assisted features, optimizing performance.

The Senior Architect will design platforms for Generative AI, develop solutions, maintain architecture governance, collaborate with teams, and manage integration strategies.

Develop web-based and data-heavy applications using modern technologies. Collaborate with teams and stakeholders to enhance solutions and integrate AI features.

The VP of Developer & AI Engineering at 1Password will lead AI initiatives, architect technical vision, and manage cross-disciplinary teams to enhance developer experience and security.

The Senior .NET Developer will design architecture for high-loaded applications, develop functionalities, implement components and services, and ensure quality control.

As a Senior Staff Software Engineer, you'll lead AI Foundations projects, building systems for LLM integration, and improve infrastructure for AI-driven features, supporting rapid iteration.

The Applied AI Engineer will create POCs from customer use cases, prototype AI solutions, and collaborate with teams to integrate AI tools effectively.