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.

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.

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

Zapier seeks an Applied AI Engineer to develop AI-driven automation tools. Responsibilities include working with large language models and improving AI performance, scalability, and reliability.

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 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.

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.

The role involves shipping full-stack AI projects, designing experiments for AI features, and optimizing AI infrastructure while collaborating with teams.

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.

Build, deploy, and maintain Workato workflows, custom Python integrations, and AI agents; integrate AI into SaaS processes; ensure robust error handling, monitoring, and continuous improvement; collaborate with consultants and architects and support UAT and production operations.

Senior DevOps role supporting AI and data services across cloud and on-prem. Administer systems, apply security patches, troubleshoot incidents, implement monitoring/observability, support developers, perform RCA, and contribute to solution design, scalability, and operations best practices.

As a Software Engineering Architect, you will design and build enterprise-level, cloud-native systems, utilizing AI and machine learning, while leading development efforts and collaborating in a dynamic environment.

As an Applied AI Intern, you will improve AI agent performance, design evaluation sets, and conduct applied AI research for enterprise-grade AI agents.

Help train large-language models to write production-grade code by comparing, ranking, repairing, and refactoring AI-generated code, while providing feedback for reinforcement learning.

The AI Software Engineer will train large-language models, compare code snippets, and provide feedback to improve AI-generated code. Requires strong C++ skills and attention to detail.

Join our team to help train large-language models by evaluating and improving AI-generated code, leveraging your coding and communication skills.

The role involves training large-language models by evaluating and refining code snippets, providing feedback, and maintaining an RLHF pipeline. Candidates need strong Python skills and code review expertise.

As an AI Software Engineer, you'll help train large-language models in Rust by comparing code snippets, repairing AI-generated code, and providing feedback to enhance model learning.

This role involves training large language models to improve code through evaluation and feedback, focusing on correctness, efficiency, and communication.

Design, develop, and maintain AI systems with a focus on NLP, recommendations, and generative algorithms while working in an agile team. Ensure operational quality and automate development workflows.

The Senior Solutions Architect will design and implement automation and AI solutions, optimize business processes, and streamline the technology ecosystem, taking full ownership from design to production.

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

Design and implement Python data pipelines and collaborate with finance leaders to enhance forecasting accuracy using AI techniques.