Top AI Jobs in Toronto

The AI Engineer designs, develops, and deploys AI-driven applications for non-data scientists, enhancing decision-making and model accessibility for organizations.

As a Full Stack Engineer, you will build AI-powered applications, manage client interactions, and apply best practices in MLOps and LLMOps.

As a Sales Executive, you will hunt for new clients, manage enterprise accounts, and create revenue streams while collaborating with internal teams.

This role involves architecting and implementing AI solutions, focusing on agentic systems, product integration, and best practices within a team setting.

As a Senior Machine Learning Engineer, you will design and build AI systems, focusing on recommendation and ranking systems, while collaborating with cross-functional teams to enhance ML capabilities.

As an AI Marketing Manager, you will execute AI-driven marketing initiatives, develop content strategies, and collaborate on campaigns with leadership while leveraging AI for optimization.

Lead the engineering vision and execution for the Customer & Business Insights Platform, focusing on data architecture, pipelines, and product delivery while mentoring global teams and ensuring data governance.

Develop and maintain WordPress websites, integrate APIs, and create AI-driven solutions using tools like OpenAI and n8n.

The AI Data Engineer will build scalable data pipelines, design systems for data processing, and manage the lifecycle of AI agents, focusing on unstructured data such as video and audio.

Design and build multi-agent AI systems and RAG pipelines, orchestrate LLMs and embeddings, develop scalable full-stack (Node.js/Next.js) APIs, optimize infra (SQL, AWS/GCP, Docker/K8s), lead technical design-to-deployment, ensure code quality, and implement video content classification and tagging for influencer marketing.

Lead the strategy and execution of AI-enabled products, collaborating with teams to improve usability and user engagement through data-driven insights.

The Senior Software Engineer, AI Automations will build and own internal systems for automating business workflows across various functions such as HR, Finance, and Operations, utilizing modern tooling and APIs.

Lead and scale the organization's AI strategy, teams, and AWS-based AI platform. Drive generative/agentic AI, recommendation/personalization, MLops, governance, metrics, experimentation, and cross-functional adoption to deliver measurable business outcomes.

Design and build agentic AI workflows for biological and clinical data curation and analysis. Implement context engineering (RAG variants), prompt and agent architecture optimization, LLM tool-use integrations, and evaluation benchmarks. Collaborate with bioinformatics and clinical experts to translate domain problems into reliable, production-quality agentic systems.

Lead design and deployment of production-grade AI solutions, build multi-agent systems and cloud-native ML infrastructure, apply rigorous statistical evaluation, implement generative and predictive models, champion MLOps and data pipeline best practices, and collaborate with clients to translate business needs into technical solutions.

Design and develop large-scale multimodal transformer models that fuse camera, LiDAR, and radar. Research cross-modal attention and token-fusion strategies, build scalable distributed training pipelines, explore self-supervised/contrastive pretraining, and optimize models for real-time, low-latency inference.

The role involves designing and implementing AI/ML platforms on Azure and GCP, ensuring compliance and security, and collaborating with engineering teams to automate operations and enhance AI services.

The Principal AI Engineer at ABC Fitness will lead AI product development, including building LLM capabilities, collaborating with teams, and mentoring junior developers to enhance software and ML applications.

The role involves designing and maintaining infrastructure for machine learning applications, deploying ML pipelines, optimizing resources on GCP, and ensuring system observability.

Lead AI engineering to design and implement advanced AI solutions, mentor a team, and ensure scalable deployment of AI models and applications.

Lead the development and architecture of voice biometric systems and conversational AI agents, ensuring secure and sophisticated interactions.

The AI Engineer will develop an Enterprise GenAI platform, design RAG systems, build AI pipelines, and implement evaluation frameworks while collaborating with cross-functional teams.

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.

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