AI Engineering Jobs in Canada
There are 497 open AI Engineering jobs in Canada on freehire right now. 194 of them were posted recently. The skills employers ask for most often are ai, python and llm.
Salary
| Currency | Period | 25th | Median | 75th | Postings |
|---|---|---|---|---|---|
| CAD | year | CA$135,000 | CA$175,000 | CA$184,000 | 53 |
| USD | year | $171,749 | $198,750 | $223,625 | 14 |
From postings that disclose pay. Currencies are counted separately, never converted.
Most requested skills
- ai 96%
- python 69%
- llm 63%
- agentic-ai 56%
- machine-learning 56%
- cloud 55%
- api 51%
- generative-ai 43%
How the work is done
- Hybrid 82 · 16%
- Remote 65 · 13%
- Onsite 9 · 2%
Visa sponsorship offered in 72% of the 50 postings that state a position on it.
Seniority
- Senior 132
- Lead 35
- Staff 23
- Principal 16
- C-level 11
- Intern 5
Who is hiring
- 1000+ employees 121
- 501-1000 employees 43
- 51-200 employees 15
- 11-50 employees 6
- 201-500 employees 3
- 1-10 employees 1
Expert, AI Engineer
Design and deploy enterprise AI solutions, agents, and RAG workflows using Python, SQL, and cloud platforms like Vertex AI and Databricks to automate and enhance CN’s logistics operations.
Senior. AI Engineer – LLM Research Engineer
Build and optimize large language models for insurance workflows, focusing on post-training, evaluation, and inference performance to improve underwriting and claims processing.
Senior AI Engineer - Toronto, ON
Build production-ready GenAI systems using Python, React, and AWS, including LLM pipelines, RAG, and agent-based architectures for scalable AI products.
Senior AI Engineer
Build and deploy production-grade ML systems using PyTorch/TensorFlow, LangGraph/LangChain, and GCP for a retail-focused AI product team.
Senior AI Engineer
Build and deploy AI agents for fintech workflows (risk, fraud, payments) and the platform that powers them, including orchestration, tooling, and safety guardrails.
Senior. AI Engineer – Agentic Systems
Build and harden AI agent systems that automate underwriting and claims workflows in insurance, using Python and modern agent frameworks.
Creative Technical Director, Generative AI
Lead AI-driven creative projects, defining technical strategies for image/video generation pipelines, automation, and model fine-tuning while guiding cross-functional teams to deliver scalable solutions.
Founding Applied AI Lead
Build and scale AI workflows for a healthcare startup that helps patients access prescribed medical technologies by automating insurance coverage processes using LLMs and structured agent systems.
Principal AI Engineer
Lead the design and delivery of responsible agentic AI systems for a digital bank, embedding fairness, safety, and regulatory compliance into production LLM-powered applications and platforms.
Enterprise AI Engineer
Build and deploy AI solutions (ML, generative AI, agentic workflows) in Python, integrating with enterprise systems to solve business problems and move prototypes to production.
Forward Deployed Ai Engineer - Vancouver
Build and deploy enterprise-grade voice AI assistants that handle thousands of daily customer interactions, integrating with telephony systems and optimizing performance for measurable ROI.
Senior AI Engineer - Tangerine
Build and maintain Tangerine’s AI/ML platform, including MLOps, RAG pipelines, and agentic systems, to power next-gen banking features and client experiences.
Senior AI Developer (Solid experience with AWS, MLOps, AgentCore & GenAI and agentic AI)
Build and deploy AI agents and GenAI systems on AWS, integrating them into insurance workflows while optimizing performance and mentoring junior developers.
Lead AI Engineer
Lead a team to build and deploy AI pipelines that detect emerging travel risks using LLMs, NLP, and geospatial analysis in AWS Bedrock and OpenAI.
Senior Software Developer, Front End, Applied AI Agent Studio
Builds and maintains AI-infused front-end tools for developers to design, test, and deploy enterprise-grade agents using Google’s agentic platform.
Lead AI Engineer
Lead a small team to design, build, and deploy production-grade generative AI systems using Python, RAG pipelines, vector databases, and cloud platforms while mentoring engineers and aligning solutions with business goals.
Senior AI Engineer Python
Build and lead Gen AI products using Python, React, and AWS, designing LLM pipelines, Agentic AI, and RAG systems while collaborating with cross-functional teams.
Senior GEN AI Engineer
Build and deploy generative-AI models (RAG, zero/few-shot learning) for capital-markets use cases like summarization and conversational AI, integrating them into existing tools for research, banking, sales, and trading.