Top AI Jobs in Toronto

As an Account Manager, you will grow client relationships by identifying new opportunities, engaging in strategic discussions, and creating value-added insights beyond standard account management.

As a Senior Account Manager, you will drive AI transformation for enterprise clients by managing relationships, developing strategic plans, and leading negotiations to achieve revenue targets.

As a Software Engineer, AI at Klue, you will design and implement LLM-powered retrieval systems, optimize workflows, and collaborate closely with product teams.

The Senior Software Engineer will develop LLM-powered agents for search and retrieval systems, optimize backend architectures and workflows, and evaluate agent performance while collaborating with teams to enhance customer experience.

The Senior Principal Researcher will lead AI research initiatives, mentor teams, translate research into scalable systems, and represent Huawei in the global AI community.

Design and develop AI agents using large language models, optimize multi-agent systems, and integrate these agents into real-world tools and systems.

The Senior Researcher will develop Physical AI research, focusing on robotic models and multimodal learning while collaborating on experiments and publications.

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 Engineer will design, develop, and deploy AI solutions in property and casualty insurance, focusing on claims processing, underwriting, and customer engagement while ensuring responsible AI practices and effective data integration.

The AI Engineering Lead will spearhead AI-powered solutions for fraud detection in insurance, oversee system architecture, mentor engineers, and ensure fair AI practices in fraud mitigation.

The Senior AI Engineer will design and integrate AI features into backend systems, optimize models, and collaborate with teams for deployment and architecture best practices.

The Intermediate AI-Enabled DevOps Engineer will build and support cloud infrastructure, enhance CI/CD pipelines, automate operational tasks, and collaborate with teams to improve reliability and performance.

The AI Engineer will design and implement production-ready LLM systems, optimize for cost and latency, and collaborate across teams while demonstrating strong ownership and independent execution.

The AI/ML Engineer will develop and optimize machine learning models, focusing on conversational systems, multi-agent solutions, and scalability, while collaborating across teams to enhance user experiences.

As an AI Engineer, you'll design and deliver agentic systems that integrate Large Language Models to enhance business workflows and operational efficiency, providing hands-on technical leadership and creating enterprise-grade AI solutions.

The Chief of Staff will partner with the Managing Director of AI, leading AI transformation initiatives, designing automated processes, and ensuring successful client engagement and organizational rollouts.

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

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.

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

Design and build simulation environments for robotics research, implement RL algorithms, and evaluate policies for stability and transfer potential. Collaborate with teams and document results.

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

The Senior Software Engineer will lead the technical roadmap for AI initiatives, architect LLM systems, and mentor engineers while collaborating with product teams to design technical solutions.

Design, build, and iterate on fullstack systems for AI agents. Collaborate with teams to enhance UX and contribute to internal best practices while engaging in research related to AI technologies.