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Added 7 mins ago
Artificial Intelligence Engineer
Gala Solutions
Montreal, QC
Contract
Work with cloud platform, network, and security teams on connectivity, egress policy, network controls, and architecture review, and produce the evidence those reviews require.
Added 22 mins ago
Staff Software Engineer
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Canada
Atlas HXM is the global workforce platform built on compliance. We help companies determine how to engage each member of their workforce and then execute with accountability built in -…
Added 37 mins ago
Jr. Software Engineer, Health Systems
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Full-time
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Added 37 mins ago
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Added 1 hour ago
RPA Platform Admin / Platform Engineer
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Full-time
The RPA Platform Administrator is responsible for the administration, support, monitoring, maintenance, and optimization of UiPath and WorkFusion platforms. The role ensures platform…
Added 1 hour ago
Back-end Software Engineer (Kotlin)
Manulife
Waterloo, ON · Montreal, QC
Full-time
…such as GitHub, DevOps pipelines (Jenkins, GitHub Actions), Cloud (Azure Kubernetes Service), Spring Boot and Spring Cloud. Your backend services will power new features in our native…
Added 1 hour 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 hour ago
Data Engineer
InfoFarm
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Full-time
A data engineer who loves computers and programming. I am always excited to analyse issues and dive into technical rabbit holes. I design and implement data solutions that directly benefit…
Added 1 hour ago
Technical Program Manager II
CNN
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Full-time
The Data Platform team powers CNN’s data collection, manipulation and interpretation, allowing leaders to make critical decisions about products and strategic direction. As a Technical…
Added 1 hour ago
Full Stack Engineer
BITS Recruiting
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…the legacy Client Help and Related Information System (CHRIS) platform and establish the foundation for a future-state home care…
Added 1 hour ago
Quality Assurance Engineer
DarkVision
North Vancouver, BC
Full-time
DarkVision is looking for a Quality Assurance Engineer to join our Software Engineering team. Reporting to our Quality Assurance Manager, the successful candidate will be instrumental in…
Added 1 hour ago
Backend Engineer (Python )
Apexon
Toronto, ON
Full-time
Backend Engineer – Python (API & Platform Engineering)
Added 1 hour ago
Senior Data Engineer
Ipsos in Canada
Vancouver, BC
Full-time
The Ipsos DataHub is a uniquely positioned group within Ipsos. It is a next-generation data platform designed to unlock the full value of data across the organization. By bringing together…
Added 1 hour ago
Cloud Engineer - Early Career (Canada)
Jobright.ai
Canada
Full-time
Jobright is your personal AI job search agent that transforms the way you do job search. They are seeking a Cloud Engineer to provision and manage cloud infrastructure, build CI/CD…
Added 1 hour ago
Systems Reliability Engineer (SRE) in Embedded Finance
Apexon
Toronto, ON
Full-time
We are seeking a Systems Reliability Engineer to join the Technical Operations team supporting our Embedded Finance (EmFi) platform. In this role, you will own the reliability and…
Added 1 hour ago
Site Reliability Engineer
J&M Group
Toronto, ON
Contract
Participate in the shared on-call rotation as the platform s subject-matter escalation, and lead incident management for customer-facing events
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Java Software Engineer
TekStaff IT Solutions
Toronto, ON · Greater Toronto Area, Canada
Contract
TekStaff's Client has a current vacancy for a Java Software Engineer
Added 1 hour ago
Systems Reliability Engineer
Mphasis
Toronto, ON
Full-time
We are seeking a Systems Reliability Engineer to join the Technical Operations team. In this role, you will own the reliability and resiliency of a large-scale enterprise platform, ensuring…
Added 1 hour ago
Senior Machine Learning Engineer
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Toronto, ON
Full-time
We are seeking a highly skilled Senior Machine Learning Engineer to design, build, deploy, and support scalable machine learning solutions for enterprise AI initiatives.
Added 1 hour ago
Artificial Intelligence Engineer
Hays
Halifax, NS
Full-time
Opportunities are available at both the Senior AI Engineer and Team Lead, AI Engineering levels. Successful candidates will play a key role in designing, building, scaling, and supporting…
Added 1 hour ago
Lead Software Engineer
Mphasis
Toronto, ON
Full-time
Influence software architecture and lead design decisions for the Platform, with particular focus on payments and money-movement systems.
Added 1 hour ago
Lead ML Platform Engineer
RBC
Calgary, AB
Full-time
We’re looking for an experienced Machine Learning Platform Engineer who will bring focus and subject-matter expertise around designing and implementing machine learning infrastructure and…
Added 1 hour ago
DevOps Developer
RBC
Toronto, ON
Full-time
…streamlining the software delivery lifecycle? As a Senior DevOps Engineer, you will play a critical role in bridging the gap between development and operations, ensuring that our…
Added 2 hours ago
Snowflake Data Engineer
Rivago Infotech Inc
Toronto, ON
Contract
Cloud technologies (AWS data services, AWS Glue, AWS Lambda, Integration with Active directory, masking and encryption, Governance activities – Lineage, Catalog, classifications.…
Added 2 hours ago
Lead Data Engineer / Data Platform Lead
Apexon
Toronto, ON
Full-time
The primary focus of this role will be to design, build, and maintain the EMFI Data Application Platform, a financial analytics application. The incumbent will work across the full stack to…

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

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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).

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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

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