Top AI Jobs in Toronto

The Principal Software Engineer-AI will lead the development of backend and orchestration systems for AI applications, mentor engineers, and drive multi-quarter initiatives while ensuring system reliability and performance at scale.

Lead and develop a high-performing team of engineers focused on building AI-powered legal drafting solutions, driving technical strategy, and delivering innovative products.

The Associate will optimize AI outputs, create marketing materials, design workflows, manage projects in Jira, and deliver training on AI applications.

The AI Data Engineer Intern will support applied AI projects, focusing on automation and workflows, utilizing NLP techniques and data engineering methods. Responsibilities include developing AI workflows, working with data sources, and collaborating with teams on AI applications.

Lead AI/ML Engineer responsible for architecture, algorithm development, and team mentorship. Collaborate on data integration and performance optimization in scalable environments.

The Senior Machine Learning Engineer will design, implement, and maintain machine learning algorithms and systems. Collaborate with teams, manage version control, and integrate AI models into applications, emphasizing speed and regulatory compliance.

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

The AI/ML Engineer will design and deploy advanced AI models, optimize performance, and directly engage with government officials to transform industries through innovative AI solutions.

The Implementation Engineer will lead the deployment and configuration of client projects, ensure seamless integration, troubleshoot issues, and maintain project documentation while collaborating with various internal teams.

The Senior AI Engineer will develop AI features for observability tools, collaborate with cross-functional teams, and deliver scalable AI solutions.

The AI-Native Product Manager will drive the development of AI-driven features and automated workflows in retail e-commerce, prototype solutions, and influence product strategy, leveraging AI and automation to enhance customer experience.

The AI Solutions Manager drives strategy and commercialization of AI solutions, focusing on scalable solutions, partnerships, and sales enablement.

Lead the design strategy for AI products, creating intuitive user experiences for AI-powered tools. Mentor designers and innovate new AI-native products.

Join Modus Create as a Content Designer to shape user experiences in a mobile app focusing on loyalty and AI. You'll collaborate with cross-functional teams, translating complex mechanics into clear language and driving user engagement.

The role involves architecting AI-integrated deployments, ensuring customer success through automation and LLMs, navigating complex enterprise infrastructures, and enhancing renewals while collaborating across departments.

The AI Director will oversee ML bot development and implementation, identify AI opportunities, educate teams, and prototype AI solutions.

Transform business ideas into production-ready applications using AI design tools and full-stack frameworks, with emphasis on frontend development.

The Software Development Manager leads a technical team, overseeing project design, technical solutions, and team development while actively coding and reviewing work.

As a Senior Software Engineer at Tenstorrent, you will develop AI compiler technologies, optimize computational graphs, and enhance MLIR frameworks to connect AI models with hardware.

Join Tenstorrent as a Senior Software Engineer focusing on AI compiler technologies. Collaborate on building innovative compiler solutions for AI hardware, optimizing computational graphs and working with MLIR. Experience in C++, Python, and machine learning frameworks is essential.

The AI Engineer II role involves designing and implementing AI systems, building APIs, and maintaining data pipelines while ensuring agent reliability in production.

The Senior AI Engineer will design, build, and operate Generative AI systems and backend platforms, owning the full lifecycle of applications and ensuring quality controls while collaborating with stakeholders on the AI roadmap.

The Intermediate AI Developer will create AI agents for automating administrative tasks in workforce management, improve workflows, and mentor junior developers.

The Senior AI Developer will create and integrate AI-powered features into a practice management platform, focusing on LLMs and agentic AI. Responsibilities include feature design, architecture implementation, collaboration with teams, and evaluation of emerging AI technologies.

Lead and deliver complex GenAI data projects, manage product requirements, and ensure alignment between business goals and engineering teams.