As of November 6, 2026, Jobsy lists 148 ai engineer jobs in Canada. The median advertised pay is $125,008 a year (from 30 postings). The most active employers are Triunity Software, Urban Ridge Supplies and Miratech. Skills often requested: python, microsoft azure, ml and aws.
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Nutrien
6+ YOENutrien needs candidates with 6+ years in software or ML engineering, including 3+ years delivering production AI or generative AI systems. Strong Python, LLM and vector database skills, cloud and MLOps experience, and a record of code review and mentoring are required.
Python, vector databases, feature stores, LLM orchestration frameworks, agent frameworks
AltaML
3+ YOECandidates need 3+ years of software engineering or data science experience, including at least 1 year building AI or LLM applications. They should have strong Python and some other backend language, plus hands-on experience with LLM agents, RAG, embeddings and cloud or API design.
Claude Code, MCP servers, React, React Native
Insight Global: Insight Global is an international talent and consulting company that delivers business outcomes in an ever-changing world.
3+ YOEInsight Global needs candidates with 3 to 5 years of machine learning, AI or software engineering experience, strong Python skills, and hands-on work building LLM applications, agents and RAG systems. Experience with GCP Vertex AI, LangGraph and production AI deployment is required.
Python, LangGraph, Vertex AI, Langfuse, GCP
Capco: Capco, a Wipro company, is a global technology and management consultancy specializing in driving digital transformation in the financial services…
5+ YOECandidates need 5+ years in market surveillance, trading compliance or capital markets technology. They also need hands-on Python, SQL and machine learning or LLM experience, and familiarity with equities and derivatives.
Python, SQL, Nasdaq SMARTS, NICE Actimize
Capco: Capco, a Wipro company, is a global technology and management consultancy specializing in driving digital transformation in the financial services…
5+ YOECapco needs 5+ years in corporate actions, asset servicing or securities operations, plus hands-on AI or automation delivery experience. Candidates should know Python, APIs, LLMs and document AI, and be able to turn complex financial business rules into technical logic.
Python, APIs, LLMs, Document AI
Jobgether
Candidates need strong Python or TypeScript production engineering experience and hands-on work with frontier AI models, MCP, RAG, evals and observability. They must show deployed AI solutions adopted by non-technical users and daily use of AI coding tools such as Claude Code or Cursor.
Claude Code, Cursor, Slack
Jobgether
4+ YOECandidates need 4 to 6+ years of backend software engineering, with Python or TypeScript skills. They also need hands-on experience shipping LLM and AI agent applications and building evaluation frameworks.
Model Context Protocol (MCP), Python, TypeScript, Go
Jobgether
Candidates need a degree in computer science, engineering or a related technical field, strong Python skills and experience building production AI or ML systems. Experience with agentic systems, machine learning, deep learning and statistics is also required.
Python
TRM Labs: TRM Labs is a blockchain intelligence company that helps financial institutions, crypto businesses, and government agencies detect and investigate…
Candidates need strong production software engineering in Python or TypeScript and very high AI fluency with agentic solutions, MCP, retrieval, evals and observability. They also need experience taking requirements from non-engineers and building tools those teams adopted.
Claude Code, Cursor, MCP
Royal Bank of Canada: Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance.
Stock listing: TSX:RY · NYSE:RY · Source checked: 2026-11-02
2+ YOERoyal Bank of Canada needs candidates with 2+ years of software development, including 1+ year of full stack JavaScript/TypeScript with Vue/Nuxt and Node.js. They must have strong SQL skills, automated testing experience, and familiarity with OAuth2/OIDC.
Vue, Nuxt, Node.js, SQL Server, Git
Royal Bank of Canada: Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance.
Stock listing: TSX:RY · NYSE:RY · Source checked: 2026-11-02
2+ YOERoyal Bank of Canada needs candidates with 2+ years of software development, including 1+ year of full stack JavaScript/TypeScript with Vue/Nuxt and Node.js. They must have strong SQL skills, automated testing experience, and familiarity with OAuth2/OIDC.
Vue, Nuxt, Node.js, SQL Server, Git
Royal Bank of Canada: Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance.
Stock listing: TSX:RY · NYSE:RY · Source checked: 2026-11-02
Candidates need production software experience, hands-on work with LLMs and generative AI, and strong Python skills. They also need working knowledge of agentic AI patterns, RAG systems with vector databases, MCP or similar tool integration, cloud platforms, containers and CI/CD, plus clear communication skills.
Python, LangGraph, Docker, Kubernetes, AWS, Azure
NovoEd, Inc.: Since the company’s founding at Stanford’s social algorithm laboratory in 2012, global corporations, executive education providers, and training…
3+ YOECandidates need 3 to 5+ years of professional Python backend experience with FastAPI or Flask and background processing, plus a master's degree and a record of deploying Python to production. Applied machine learning, LLM integration and strong testing and debugging skills are also required.
FastAPI, Flask, Gunicorn, Nginx, Celery, Docker
Aplin
Candidates need a track record of shipping AI agents or AI features to production, strong Python or TypeScript skills, and experience with LLM APIs and MCP. They should use coding agents daily, run evals to judge readiness, and be able to discuss in detail the design decisions in what they have built.
coding agents, LLM APIs, MCP, agent frameworks and SDKs
Superhuman
4+ YOECandidates need 4 to 7+ years of software engineering experience with a strong backend background, and hands-on experience shipping LLM-powered features and agents in production. They also need experience building LLM evaluations, working ML knowledge, and comfort with ambiguity.
Go, Postgres, Redis, Kubernetes, AWS, TurboPuffer
Celestica International LP
11+ YOECelestica International LP needs candidates with 11+ years in IT, software engineering or data science, including 3-5 years in AI/ML engineering. They must know generative AI, vector databases, advanced Python and a cloud AI platform, and communicate well with non-technical leaders.
Python, PyTorch, TensorFlow, LangChain, LlamaIndex, Pinecone
Celestica International LP
11+ YOECandidates need 11+ years in IT, software engineering or data science, with AI/ML experience, strong Python skills, and knowledge of generative AI, LLMs and vector databases. Strong communication skills for explaining AI to non-technical leaders are also required.
Python, PyTorch, TensorFlow, LangChain, LlamaIndex, Pinecone
Eclipse Automation
5+ YOECandidates need five or more years of building production enterprise applications, hands-on experience with AI/LLM solutions such as RAG and agents, and experience with React, TypeScript, Python and either .NET/C# or Node.js. Strong SQL, API integration, and a degree or diploma or equivalent experience are also required.
Ollama, llama.cpp, vLLM, NVIDIA NIM, Azure DevOps, GitHub Actions
Hydro One Networks Inc
5+ YOECandidates need 5 to 10 years in data governance, data stewardship, data modelling, data architecture and master data management. They also need experience with governance tools, analytics and visualization tools, and an undergraduate degree in a related field.
Collibra, Informatica, Alation, Talend, IBM InfoSphere, Power BI
Ample Insight Inc.
Candidates need a computer science or engineering degree and strong Python skills. They also need experience architecting agentic systems and production ML, plus AI evaluation and observability experience.
Unstructured data, Machine learning, Critical thinking, Problem solving, Computer science, Python
Workday, Inc.: Workday is a leading provider of enterprise cloud applications for finance and human resources, helping customers adapt and thrive in a changing…
8+ YOECandidates need 8+ years of software engineering and 2+ years integrating LLMs and AI APIs into user-facing products, plus 1+ years evaluating agents. Strong communication, mentoring, and governance and security knowledge for enterprise agents are also needed.
LangSmith, Langfuse
Nubank: The company has been leading an industry transformation by leveraging data and proprietary technology to develop innovative products and services.
Candidates need deep software engineering experience, recent work with AI models and agentic systems, and a track record building design systems or UI platforms. Strong evidence of shipped tools, such as GitHub projects or live demos, is essential.
Research, GitHub
Trivium
7+ YOETrivium needs 7+ years building and operating production systems, with on-call experience and hands-on LLM application work in production. Candidates must use AI coding tools daily, write strong Python and TypeScript, and work U.S. Eastern Time hours.
Langfuse, Claude Code, Codex, Cursor, MongoDB, Twilio
Guidepoint
8+ YOECandidates need 8+ years of software engineering experience, including 3+ years building production AI or LLM products, and strong Python skills. They need hands-on experience with multi-agent systems, cloud deployment, retrieval and LLM evaluation, plus a relevant degree and a track record of scaling production systems.
Python, Kubernetes, Azure, Databricks, TypeScript
The median advertised pay is $125,008 a year, across 30 postings that list pay. The lowest quarter pays under $104,998 and the top quarter over $146,255.
Triunity Software (9), Urban Ridge Supplies (8), Miratech (7), Royal Bank of Canada (5) and Workday, Inc. (4).
Postings most often mention python, microsoft azure, ml, aws, computer science, communication skills, machine learning and ci/cd.
18 companies