Top AI Jobs in Montreal

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.

The Power Automate Developer designs and implements automated solutions for enhanced productivity and effective information management, collaborating with stakeholders and coordinating testing activities.

As a Software Engineering Co-op, you will execute tasks independently, collaborate on ICT projects, and engage with AI technologies while contributing to team efforts and knowledge sharing.

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 develop and improve the AI platform for real estate, working on APIs, services, and collaborations to enhance user experiences.

As a Staff Backend Engineer at GitLab, you'll enhance backend infrastructure for CI, integrate AI features, and ensure reliability and performance in CI/CD workflows.

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.

Build agentic applications and tooling with LLM infrastructure, requiring hands-on engineering in a high-pressure environment. Deliver quality under tight deadlines.

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 QA Developer, implement intelligent testing strategies leveraging AI for software quality assurance, automate tests, and collaborate with teams to enhance reliability and performance.

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

The Solutions Architect will collaborate with customer teams to design tailored solutions, engage through implementation, and analyze customer feedback to drive continuous improvement.

Train large language models to improve code quality by ranking, repairing, and refactoring code snippets while providing detailed explanations for feedback.

The Software Engineer will train large language models to generate and improve code through ranking and editing. Responsibilities include repairing AI-generated code and providing detailed feedback for model refinement.

The Software Engineer, AI will train large language models by ranking and repairing AI-generated code while providing feedback into the RLHF pipeline.

This role involves training large language models to write code, ranking code snippets, and ensuring AI-generated code is correct and efficient. Strong communication skills are essential for explaining code improvements.

As a Software Engineer, you will train large language models by reviewing code snippets, injecting feedback into the RLHF pipeline, and improving AI-generated code.

The AI Infrastructure Engineer designs, develops, and optimizes core capabilities for the AI inference platform, focusing on reliability, scalability, and operability of infrastructure and services.

You will design and build high-performance graphics systems for 3D generative AI, collaborating closely with artists and researchers to innovate production pipelines.

Lead and scale forward-deployed engineering pods to convert complex customer workflows into production AI agent deployments. Build operating cadence, quality bars, deployment playbooks, partner with product, and hire/coach leaders while staying technically hands-on to ensure reliable, observable, and safe agent systems.

The Software Engineer will develop backend systems for an AI Energy Agent, including data integration, microservices, and scalable architecture, focusing on performance and reliability.

The AI-Native Data Engineer will build data pipelines, architect databases, design GCP infrastructure, and automate workflows for energy management using AI.

This internship opportunity is for students in computer engineering or AI to work on distributed systems at Bedrock Security.

The engineer will develop features for an AI workspace platform, deploy AI solutions in public sector environments, and interact with clients.

As a Full-Stack Software Developer, you will build AI systems, design low-code AI agent solutions, and integrate AI functionalities across the platform. Responsibilities include developing GraphQL APIs and reusable AI components while collaborating with design teams.