Top AI Jobs in Toronto

As a Full Stack Engineer, you'll develop production-ready AI and ML features, build APIs, design scalable systems, and implement frontend solutions using Angular.

As an AI Enablement Lead, you'll help teams adopt and integrate AI, create training programs, and track AI developments. You'll foster a culture of continuous learning and provide strategic insights for AI usage.

Seeking a Software Development Manager to lead a team in building public APIs for Vincent AI, support and grow team members, and solve technical challenges.

The AI Data Engineer will ensure the reliability of Veeva AI Agents through evaluation, validation, and testing of data integrity and performance metrics.

The AI Data Engineer ensures the reliability and accuracy of Veeva AI Agents through evaluations, validation methodologies, and dataset generation, while using Python for automation and reporting.

Lead the AI quality strategy and develop testing frameworks for AI-driven software targeting legal professionals, ensuring system performance and scalability.

As a Full Stack Software Engineer, you will design and build product features, ensuring resilience and scalability while collaborating with AI researchers.

The Senior Staff AI Engineer will lead the design and optimization of reinforcement learning systems for enterprise applications, focusing on scalable architectures and production deployment. Responsibilities include mentoring, collaboration, and ensuring compliance with AI ethics and safety standards.

The Development Manager will lead AI tooling initiatives to enhance developer productivity, set strategies for AI-enabled development, and support a senior team while contributing technically.

Lead AI projects from conception to deployment, optimize AI performance, implement scalable solutions, and mentor team members in a hybrid work environment.

As a Senior Software Engineer, you will develop AI-powered systems to enhance accounting workflows, build backend services, and ensure optimal performance and reliability of AI solutions.

The Lead Research Engineer develops AI methodologies, delivers high-quality solutions, leads teams, and engages in cross-functional collaboration in a dynamic environment.

This role involves managing a team of AI and Applied Research professionals, driving the production of AI solutions, and collaborating with product leaders to shape an AI-driven roadmap.

As a Lead Software Engineer for AI, you will design and develop AI-powered legal document drafting systems, collaborating with cross-functional teams while mentoring junior engineers.

The AI-Native Data Engineer will build data pipelines, architect databases, design GCP infrastructure, and automate workflows for energy management using AI.

The Software Engineer will develop backend systems for an AI Energy Agent, including data integration, microservices, and scalable architecture, focusing on performance and reliability.

Lead development of AI-driven features, manage integrations and teams, oversee product strategy, and cultivate relationships to drive business growth.

Lead AI diligence engagements for private equity, evaluating AI strategies and identifying opportunities in target companies. Manage client relationships and collaborate with product and engineering teams to implement AI solutions.

This internship opportunity is for students in computer engineering or AI to work on distributed systems at Bedrock Security.

The Senior AI/ML Engineer will architect, build, and deploy AI systems, working with clients to understand their needs and applying MLOps practices to enhance AI services.

Drive AI adoption across the organization by building and deploying AI solutions, integrating systems, and ensuring effective training and governance.

Lead global positioning and go-to-market strategies for connectivity products in AI data centers, emphasizing high-speed low-latency technologies.

The AI Search and SEO Manager will develop and execute strategies to enhance Jobber's organic visibility and traffic through SEO and AI search optimization, manage reporting insights, and collaborate across teams to drive project execution and innovative experimentation in search strategies.

The Senior Architect will design platforms for Generative AI, develop solutions, maintain architecture governance, collaborate with teams, and manage integration strategies.

The Applied ML Engineer at Ideogram will turn generative models into production features, collaborate with teams to define metrics, and ensure ML systems' reliability.