Top AI Jobs in Montreal

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

Lead technical vision and execution for enterprise AI, data, and automation initiatives. Architect and deliver scalable AI systems, data pipelines, and intelligent services; mentor engineers; drive cross-functional alignment, risk mitigation, and operational excellence; prototype solutions and influence org-wide strategy to maximize business impact.

The Staff Software Engineer will lead AI-driven initiatives, building systems for advertising, content creation, data modeling, and SEO that enhance real estate agents' market presence.

As a Staff Software Engineer, you'll shape platform architecture and drive AI-powered product delivery, focusing on multi-agent orchestration, workflow automation, and platform integration.

As a Senior Software Engineer on the AI Platform, you'll develop scalable AI systems, focusing on backend services, workflows, and integrations, partnering with cross-functional teams.

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

As a Staff Software Engineer, you'll develop and improve the AI platform for real estate, working on APIs, services, and collaborations to enhance user experiences.

The engineer will develop water management plans for mining projects, conduct hydrological studies, design hydraulic structures, and collaborate in multidisciplinary teams.

Evaluate the quality of interactions with AI coding agents, assessing outputs and providing feedback on engineering judgment, reasoning, and usefulness.

As a Senior Integration Specialist, you'll configure and maintain the iPaaS platform, create reusable templates, provide technical support, and train developers to build effective automations.

Join the AI Agents backend team to design, build, and operate scalable APIs and systems that orchestrate conversational AI agents. Break down projects, collaborate with product/design/analytics, support production availability and monitoring, participate in on-call rotations, and contribute to hiring and team growth.

As a Senior Software Developer in Automation and AI, you'll design and sustain AI-powered automation systems, mentor software developers, establish technical standards, and ensure quality and security for automation initiatives.

This role involves driving AI adoption at Coinbase by developing AI automation solutions, collaborating with teams, and managing prototypes to enhance efficiency and ROI.

Evaluate AI-generated coding interactions focusing on usability, correctness, and engineering judgment. Provide feedback on response quality and help define standards for effective AI tool interactions.

Join Morgan Stanley as a Java/Scala/Axiom Developer to enhance Regulatory Reporting applications, engage in software development lifecycle, and optimize data processes with technologies like Scala and Power BI.

The Senior Technical Artist will design and implement AI-driven workflows, develop tools, prototype game systems, and collaborate on diverse platforms.

As a Developer in the System Team, you will modernize development practices, integrate AI solutions, enhance CI/CD pipelines, and support teams with standards and technologies.

The Principal Software Development Engineer will lead the development of manufacturing data model solutions, collaborating with teams globally to optimize product workflows through data extraction and AI integration, ensuring high-quality delivery.

The AI Product Engineer will develop user-facing products, using AI to enhance decision-making in paid advertising and will own features from ideation to launch.

The role involves training large language models to write production-grade code, comparing snippets, refactoring code, and providing feedback for reinforcement learning processes.

Train large language models to write code by reviewing code snippets and providing feedback for improvements. Requires 3+ years of Ruby experience.

As a Software Engineer in AI, you will train large language models, rank and review code snippets, and provide feedback for improvements.

The role involves training large language models to write production-grade code using Java, performing code reviews, refactoring, and providing detailed explanations for coding decisions.

Train large language models to write production-grade code across languages, review and improve AI-generated code, and maintain the RLHF feedback pipeline.

As a Rust Software Engineer, you'll train large language models to generate and refine code, compare snippets, and ensure quality through detailed code reviews.