Top AI Jobs in Montreal

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.

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

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.

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.

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

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

The Senior Full-Stack Developer will develop enterprise-level AI finance applications using Python and SQL on Snowflake, integrate LLMs, and oversee end-to-end feature ownership.

As a Senior Full-Stack Developer, you'll own end-to-end delivery of enterprise features, build scalable Python and SQL applications, integrate AI capabilities, and drive engineering excellence in a startup environment.

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

As a Software Engineer, you will help train large-language models in code evaluation and training, focusing on Ruby, with an emphasis on code review and improvement.

Train large-language models to improve code quality by comparing snippets, providing feedback, and refining AI-generated code. Requires strong communication skills and attention to detail.

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

We seek a passionate AI Programmer to develop AI systems for game characters, collaborate on gameplay, and optimize performance. Key responsibilities include coding in C#, debugging, and staying updated with AI trends.

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.

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.

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 Solution Engineer, you'll guide customers in understanding AI solutions, conduct technical assessments, deliver demos, and provide strategic advice on digital transformation.

The Applied AI Engineer will develop end-to-end proofs-of-concept for AI integration, prototype systems rapidly, and collaborate with research and backend teams to deliver functional demos and documentation.

The Senior Backend Engineer will design, implement, and manage scalable AI services and workflows, utilizing Java or Python within a Kubernetes environment while ensuring high availability and integration with various AI solutions.