Top AI Jobs in Montreal

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

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.

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

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 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.

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

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 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 an AI Integration Developer, you'll design and maintain backend architectures, manage integrations, and ensure security and compliance in a high-stakes medical environment.

Responsible for designing and implementing graphene-based chemical sensor systems, optimizing signal processing, and leading technical strategy in collaboration with co-founders. Will guide R&D and ensure technology meets real-world food science applications.

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

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.

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

As a Full Stack Engineer, you will build AI-powered applications, manage client interactions, and apply best practices in MLOps and LLMOps.

The AI Engineer designs, develops, and deploys AI-driven applications for non-data scientists, enhancing decision-making and model accessibility for organizations.

The Senior Software Engineer, AI Automations will build and own internal systems for automating business workflows across various functions such as HR, Finance, and Operations, utilizing modern tooling and APIs.

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.

The Senior DevOps will optimize Data & AI infrastructure, manage AWS platforms, implement Infrastructure as Code with Terraform, and enhance DevOps practices, ensuring robust and secure operations.

As an AI Product Engineer, you will develop and deploy AI-driven software solutions, collaborate with customers, and optimize applications for real-world impacts.

Develop, test, and deploy AI-powered automations for marketing operations. Collaborate on API integrations and optimize workflows while writing clean code.

The Senior Software Engineer will develop and integrate LLM-powered features, build AI capabilities for logistics operations, and collaborate with Data Scientists and ML Engineers to deliver AI solutions at scale.