Top AI Jobs in Toronto

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.

Design and develop machine learning models for multimodal data integration, collaborating with scientists and engineers to create scalable solutions.

Develop AI solutions and enhance observability data using AI-powered features. Collaborate cross-functionally, iterate rapidly, and take ownership of AI projects while ensuring scalability and impact.

The Director of Software Engineering role focuses on enhancing Jobber's AI capabilities, overseeing the integration of intelligent workflows across products to support small business operations more effectively.

The Senior AI Engineer will design, build, and ship AI-powered product features, integrating LLMs and automating workflows to enhance security insights and user experience.

Lead AI product initiatives from concept to production, define architecture, collaborate with product leadership, and improve AI workflows.

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

As Lead Edge AI Engineer, you'll architect edge-AI pipelines, build developer-friendly APIs, optimize performance, and mentor engineers while collaborating on decentralized AI solutions.