As of November 7, 2026, Jobsy lists 5 applied ai engineer jobs in Toronto, ON. The most active employers are Urban Ridge Supplies, Clariti Cloud Inc. and Modaxo Inc. Skills often requested: python, ml, communication skills and microsoft azure.
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Candidates need a PhD with 0-2 years of experience, a Master's with 4+ years, or a Bachelor's with 5+ years of relevant industry experience. Strong Python, LLM application and agentic system skills are required.
Derivative Path needs candidates with hands-on experience building with LLMs, such as RAG, agents or fine-tuning, plus data engineering and Python with AI frameworks. Production AI or MLOps experience and cloud platform knowledge are also wanted, and financial derivatives knowledge is a bonus.
10+ YOECandidates need 10+ years in AI/ML engineering, at least 2 years in financial services or a regulated industry, and a track record of production AI deployments. Strong Python, LLM and agent framework skills, plus AWS and Azure experience, are required.
3+ YOECandidates need 3+ years of software engineering experience with LLM or AI/ML features in production, plus Ruby on Rails or similar backend and Vue.js or React experience. They also need infrastructure as code (Terraform preferred), working AWS knowledge, and experience building LLM evaluations.
Ruby on Rails, Vue.js, Amazon Bedrock, AWS EKS, Terraform, Terragrunt
5+ YOENexxa.AI needs 5 to 10+ years of engineering experience, strong programming skills, and hands-on ML and generative AI work. Candidates also need cloud and container experience and strong communication skills for customer-facing work.