Find work in Canada.

321,926 jobs across our Canadian network. How we count

Jobs in Canada

25+ jobs

Email me new jobs Save this search

Added 8 hours ago
Lead Full Stack Engineer (.Net, Vue/React) - Fully Remote
CoverGo
Remote, Canada
Full-time · Remote
As the Lead Full Stack Engineer, you will take on a pivotal role in guiding the design, implementation, and maintenance of our innovative SaaS platform. You will provide technical direction…
Added 9 hours ago
Senior AI Engineer (Permanent)
CoreFactor Inc.
ON · Downtown Toronto (Underground city), Ontario
Full-time
Experience with cloud-based environments (AWS, Azure, or GCP).
Added 10 hours ago
Senior AI Engineer (Permanent)
CoreFactor
Toronto, ON · Greater Toronto Area, Canada
Full-time
Experience with cloud-based environments (AWS, Azure, or GCP).
Added 14 hours ago
DevOps Engineer, New Grad
Jobright.ai
Canada
Full-time
…accelerating your route to the best job outcomes. As a New Grad DevOps Engineer, you will help build and operate the infrastructure behind our AI-powered job search platform, focusing on…
Added 15 hours ago
Cloud Engineer - Early Career (Canada)
Jobright.ai
Canada
Full-time
Hands-on experience with at least one major cloud platform (AWS, GCP, or Azure), including core compute, storage, and networking services
Added 15 hours ago
DevOps Engineer, New Grad
Jobright.ai
Canada
Full-time
…accelerating your route to the best job outcomes. As a New Grad DevOps Engineer, you will help build and operate the infrastructure behind our AI-powered job search platform, focusing on…
Added 16 hours ago
Senior Systems Engineer
Aviso
Toronto, ON
$110,000 to $120,000 CAD / year
Full-time
Reporting to the Director, Technology Support Services, the Senior Systems Engineer is responsible for independently operating, engineering, and improving Aviso's hybrid infrastructure…
Added 16 hours ago
Senior Data Engineer, Temporary
Aviso
Toronto, ON
Temporary
Reporting to the Sr Director, Data Platform Delivery and Engineering, the Data Engineer is responsible for designing, building, and collaborating with Development, Security, and TSP Ops…
Added 20 hours ago
Cloud Engineer - Early Career (Canada)
Jobright.ai
Canada
Full-time
Hands-on experience with at least one major cloud platform (AWS, GCP, or Azure), including core compute, storage, and networking services
Added 21 hours ago
AI/ML Engineer
lululemon
Vancouver, BC
Full-time
Build and maintain scalable model training pipelines using distributed training frameworks (PyTorch Distributed, Horovod, Ray Train) and cloud ML platforms (SageMaker, Vertex AI, Azure ML)
Added 22 hours ago
Customer Success Solutions Specialist
Teltoo (Acquired by Haivision)
Success, SK
Full-time
Familiarity with cloud platforms (AWS, Azure, Google Cloud) and virtualized environments
Added 1 day ago
Intermediate Software Engineer
AltaML
Toronto, ON
$90,000 to $110,000 CAD / year
Full-time
Experience with a cloud platform (Azure, AWS, or GCP) is a plus.
Added 1 day ago
Senior Data Engineer
Boardwalk
Calgary, AB
Contract
The Senior Data Engineer provides architectural direction, technical leadership, and execution oversight for our core database modernization initiative. This role is responsible for shaping…
Added 1 day ago
Professional Services Consultant
Manx Telecom Enterprise
Permanent North American Gaeltacht, ON
Full-time
The Professional Services Consultant delivers Microsoft cloud, infrastructure and platform projects for Synapse360 customers. The role is suited to an experienced Windows infrastructure…
Added 2 days ago
Full Stack Infrastructure Engineer
Axelon Services Corporation
Montreal, QC
$65.52 USD / hour
Other
Experience with cloud (AWS, Azure, GCP vulnerability posture), on-prem infrastructure (Windows/Linux), network devices & appliances, containers & Kubernetes security, and IoT/OT…
Added 2 days ago
Intermediate Software Engineer
AltaML
Calgary, AB
$90,000 to $110,000 CAD / year
Full-time
Experience with a cloud platform (Azure, AWS, or GCP) is a plus.
Added 2 days ago
Power Platform & Copilot Studio Architect
Softchoice
Calgary, AB · AB · NS · Oakville, ON · Ottawa, ON · Toronto, ON · Nova Scotia, Nova
…conversational-AI solutions built on Microsoft Copilot Studio and the Power Platform, backed by custom Azure development where the workload demands it. This role owns the hardest recurring…
Added 2 days ago
Senior Quantitative Engineer
Royal Bank of Canada
Vancouver, BC · Toronto, ON
Full-time
Experience with Cloud (AWS or Azure) and containerization is a big plus
Added 2 days ago
Senior Cloud Security Engineer ( Global Security)
RBC
Vancouver, BC · Toronto, ON
Full-time
The AWS Security Controls team within Cloud Security Engineering is working on several exciting initiatives to further secure RBC’s AWS environment. In this role as a Senior Cloud Security…
Added 2 days ago
Senior Software Quantitative Engineer
RBC
Vancouver, BC · Toronto, ON
Full-time
Experience with Cloud (AWS or Azure) and containerization is a big plus
Added 2 days ago
Software Developer, Metadata
RBC
Calgary, AB
Full-time
…management and the financial services industry. As a Software Engineer, you’ll be responsible for architecting, building, and maintaining secure, scalable backend services for the critical…
Added 2 days ago
Senior ML/AI Engineer
Canadian Tire Corporation
Toronto, ON
Full-time
Production experience with a major cloud ML platform - Vertex AI preferred; SageMaker or Azure ML acceptable - including custom training jobs, artifact management, and cost control.…
Added 2 days ago
Staff Software Engineer - Capital One Travel Tech - Full-stack
Capital One
Toronto, ON
Full-time
Experience with AWS (highly preferred) or other cloud products (Microsoft Azure, Google Cloud)
Added 2 days ago
Senior Data Platform Engineer
Norton Rose Fulbright
Toronto, ON · Calgary, AB
Full-time
The Senior Data Platform Engineer will act as a technical lead for our technologies in any project or initiative, and is responsible for designing, developing, implementing, and supporting…
Added 2 days ago
Windows Engineer II
TD
Toronto, ON
Full-time
We are seeking an experienced Senior Windows Engineer to join our Windows Engineering team. The successful candidate will be responsible for developing enterprise Windows standards,…

CoreFactor

Senior AI Engineer (Permanent)

Toronto, ON, Canada
Greater Toronto Area, Canada, Canada

Job type: Full-time
Apply by: Oct 27, 2026
Experience: 4–8+ years of experience in a data science, machine learning, or AI engineering role, including hands-on experience delivering production systems.
Posting language: English
Posted: Sep 27, 2026

Apply About employer

Applications open in a new tab.

Original job description

CoreFactor is searching for a Senior AI Engineer on a permanent/full-time basis.

This position is hybrid and will require the successful incumbent to go into the office four (4) times per week.

We are seeking an experienced and technically strong Senior AI Engineer to join our clients Data, AI & Analytics team. This role focuses on the applied use of Generative AI and Agentic AI, leveraging existing large language models (LLMs) and platforms - not building models from scratch. As a senior member of the team, you'll take technical ownership of intelligent applications and automation tools that use LLMs to solve business problems, set best practices for the team, and mentor junior engineers, while partnering closely with business, engineering, and governance stakeholders to bring production-grade AI solutions to life.

KEY RESPONSIBILITIES:

Applied Generative & Agentic AI:

You'll be building the agents and GenAI systems that CI's advisors, analysts, and operations teams actually rely on day to day - not prototypes that stall out after the demo.

Architect and build production-grade intelligent systems and applications using existing LLMs (e.g., OpenAI, Claude, Gemini, etc.) through API integration, prompt engineering, fine-tuning, or Retrieval-Augmented Generation (RAG).
Design, prototype, and lead development of agentic AI systems capable of multi-step reasoning, task decomposition, and tool use to automate and support complex business workflows.
Contribute to the design of a reusable, scalable AI platform (shared tooling, agent frameworks, and infrastructure) rather than one-off point solutions, so capabilities can be reused across use cases.
Building web app AI solutions using frameworks such as React or Streamlit.

Monitoring & Improvement:

Set technical direction and best practices for GenAI and agentic solution design, including evaluation methodology, guardrails, and reliability of LLM-powered systems.
Drive continuous iteration and improvement of models and LLM-powered tools based on performance metrics, cost, and user feedback.

Technical Leadership & Best Practices:

Lead design and code reviews, championing best practices around experimentation, reproducibility, and responsible AI.

Requirements

Education:

Bachelor's or Master's degree in Computer Science, Data Science, AI, Machine Learning, Statistics, or a related field.

Experience:

4–8+ years of experience in a data science, machine learning, or AI engineering role, including hands-on experience delivering production systems.
Demonstrated experience designing, building, and shipping agentic AI systems involving multi-step reasoning, task decomposition, and tool use.
Experience designing around real-world infrastructure limitations - such as rate limits, quota management, retries/backoff, and cost-per-call - when architecting LLM-powered systems at scale.

Skills:

Deep understanding of prompt engineering, RAG, fine-tuning, and evaluation of generative output, including tradeoffs across approaches.
Proficiency in Python and ML/AI libraries (e.g., Scikit-learn, PyTorch, TensorFlow).
Hands-on skills in designing and orchestrating agentic workflows (multi-step reasoning, task decomposition, tool/function calling).
Excellent communication skills; able to present complex technical concepts clearly to both technical and non-technical stakeholders, including senior leadership.
Experience with cloud-based environments (AWS, Azure, or GCP).

Apply About employer

More about this job

Responsibilities

Design, build, and maintain production-grade generative and agentic AI applications using existing LLMs, including reusable platforms and tools that automate business workflows. Set technical best practices, evaluate and improve system performance and reliability, and lead design and code reviews while mentoring junior engineers and collaborating with stakeholders.

Requirements

Requires a bachelor's or master's degree in a relevant field and 4–8+ years of experience delivering production data science, machine learning, or AI systems. Candidates should have hands-on experience building agentic workflows and LLM applications, strong Python and AI/ML skills, knowledge of infrastructure constraints and cloud environments, and the ability to communicate effectively with technical and non-technical stakeholders.

Skills

Generative AI
Agentic AI
Large Language Models
Prompt Engineering
Retrieval-Augmented Generation
Fine-Tuning
Python
Scikit-Learn
PyTorch
TensorFlow
Agent Orchestration
Tool and Function Calling
AI Evaluation
Cloud Computing
React
Streamlit

Visa sponsorship

Not detected in the job text

Keywords

Generative AI
Agentic AI
Large Language Models
OpenAI
Claude
Gemini
Prompt Engineering
Retrieval-Augmented Generation
Fine-Tuning
Multi-Step Reasoning
Task Decomposition
Tool Use
API Integration
AI Agents
AI Platform
Python
Scikit-Learn
PyTorch
TensorFlow
React
Streamlit
Evaluation Methodology
Responsible AI
Guardrails
Rate Limits
Quota Management
Retries and Backoff
Cost Management
AWS
Azure

Report this job