Top AI Jobs in Montreal

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

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

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.

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 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.

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

Zapier seeks an Engineering Manager to lead the AI Capabilities team, focusing on building a robust AI platform with reusable APIs and high-quality features. Responsibilities include leading engineers, making architectural decisions, and enhancing development processes to improve user experiences and align with company goals.

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

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.

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

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

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

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

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.

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

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

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.

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.

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

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.

Train large-language models (LLMs) by evaluating, ranking, repairing, and refactoring code. Provide detailed feedback and maintain the RLHF pipeline.

The Software Engineer will analyze, rank, and improve AI-generated code, providing feedback for reinforcement learning in a remote role.

The role involves training large-language models to improve code generation, reviewing and editing AI-generated code, and providing feedback for reinforcement learning refinement.

Design and build AI-powered full-stack applications while architecting core AI pipelines and contributing to strategic product features and workflow orchestration.