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$137,250 | CA$175,250 | CA$184,000 | 52 |
| 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
Associate AI Engineer / AI Engineer
Build and maintain AI-powered data solutions for insurance software, using AI agents to write and review code while collaborating with data scientists and engineers.
Senior AI Software Engineer
Build and deploy production-grade AI systems, including computer vision and agentic workflows, using Python, TypeScript, and cloud-native tools to bridge research and scalable applications.
AI Software Engineer
About the role : As an AI Engineer (Agentic Systems & LLM Applications), you will design, build, and scale production-grade agentic workflows and AI-driven applications. You will play a key role in shaping how…
Forward Deployed AI Engineer
Build and deploy production-grade agentic AI systems for enterprise clients, embedding with their teams to design, architect, and ship multi-agent workflows, RAG pipelines, and evaluation harnesses in Python and cloud environments.
Senior Software Developer, Backend, Applied AI Agent Studio
Builds and scales backend infrastructure for Google’s AI agent platform (CXAS Console), focusing on APIs, data pipelines, and security to enable enterprise-grade AI agents for global customers.
Staff Agentic AI Engineer
Build and optimize production-grade AI agent platforms that automate complex enterprise workflows using LLMs, RAG, and orchestration frameworks like LangChain.
Copy of LLM Model Response Evaluation
Evaluates AI-generated content (text, images, audio, video) for accuracy and quality across diverse topics using trusted sources and project guidelines.
DL Performance Software Engineer - LLM Inference
Build and optimize GPU kernels and inference frameworks (e.g., vLLM) to accelerate large language model serving, integrating research into production-grade, open-source software.
Advisor, Agentic AI and Generative AI
Advises on and experiments with agentic and generative AI systems to recommend scalable, responsible AI solutions for Desjardins Group’s AI initiatives.
Advisor, Agentic AI and Generative AI
Advises on cutting-edge AI agent and generative AI technologies, runs experiments to validate frameworks like LangGraph, and turns findings into reusable best practices for Desjardins’s AI initiatives.
Senior AI/LLM Engineer
Senior engineer builds AI-powered threat-detection features on Censys’s internet-scale platform, using LLMs, RAG, and vector search to surface malicious infrastructure for SOC teams.
Generative AI Developer – Microsoft Azure AI Stack
Build and deploy enterprise generative AI apps using Azure OpenAI, LangChain, and RAG pipelines; integrate LLMs into microservices and agent workflows.
Solution Architect – Generative AI (Azure AI Stack)
Designs and deploys enterprise Generative AI solutions on Microsoft Azure, leveraging Azure OpenAI, LangChain, RAG, and AI agents to transform client workflows.
Senior Software Engineer, Applied AI (Toronto)
Build and own an AI agent platform that automates operations using LLMs, backend services, and integrations in a fast-paced product environment.
AI Agent Engineer – Commercial AI Transformation
Designs and deploys AI agents to automate commercial workflows like sales and customer success, integrating with enterprise systems such as Snowflake, Workato, and Glean while enforcing security and governance policies.