Top AI Jobs in Toronto

As a Fullstack AI Engineer, you will design, develop, and deploy AI solutions and machine learning models. Your role includes integrating AI features, maintaining scalable code, supporting AI integrations, collaborating with teams, and providing technical mentorship. You will contribute to the long-term technical vision while shaping technology decisions in a fast-paced startup environment.

As a Senior Frontend Engineer, you will develop real-time AI interfaces, optimize frontend performance, and collaborate with backend teams to integrate LLM capabilities, ultimately enhancing user experiences in AI-powered applications.

As a Staff Machine Learning Engineer, you will lead the design and development of Generative AI solutions for Firefox, build infrastructure for model training and inference, and implement robust validation processes. You will collaborate with product management and engineering teams to enhance Firefox's AI capabilities.

The Senior AI Engineer at Lightci will lead the design, development, and deployment of AI-powered solutions for CRM platforms, integrating AI features across front-end and back-end systems, developing APIs, ensuring scalability and reliability of AI systems, and driving continuous improvement through data analytics.

The job involves providing coding expertise to assist in training AI models by crafting questions, evaluating code generated by AI, and ensuring attention to detail. Candidates are expected to work flexibly and remotely, contributing to innovative projects.

Seeking a Sr. Software Engineer with expertise in compilers and semiconductor technology to design, develop, and optimize compilers for cutting-edge semiconductor products. Responsibilities include developing machine learning graph compiler, optimizing performance of machine learning applications, integrating software into machine learning frameworks, and collaborating with machine learning engineers.

As an AI Engineer, you will develop and integrate AI systems with blockchain technology, focusing on the Proof-of-Creativity protocol and creating SDKs and APIs for AI applications while driving internal AI adoption and innovation.

The Senior AI/ML Engineer will design and implement machine learning algorithms, maintain ML system pipelines, and integrate AI components into various applications. Collaborating with cross-functional teams, the engineer will also manage version control, implement CI/CD pipelines, and design RESTful APIs, all while working in fast-paced, regulated environments.