Jobs in Canada

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Added 2 months ago
TH
Software Engineer - Data Insights
Top Hat
Remote, Canada
- Full-time
- Remote
We’re searching for a Full Stack Engineer to join our Data Insights team!
Added 2 months ago
CA
Electrical Design Engineer (Intermediate - Senior)
Cybertech Automation Inc
Edmonton, AB
- Full-time
…systems, SIS Upgrades and data integration including advanced…
Added 2 months ago
VC
AI Product Lead
Valsoft Corporation
Remote, Canada
- Full-time
- Remote
The AI Lead does everything an AI Product Engineer does - plus owns customer discovery, validation, prioritization, and measurable impact.
Added 2 months ago
R
Senior AI Native Software Engineer
Remitly
Burnaby, BC
- Full-time
As a Senior AI Native Software Engineer, you direct AI agents to build products and solutions, rather than writing code directly. You leverage AI coding agents to replace manual tasks,…
Added 2 months ago
Staff Engineer - Frontend
Munich Re
Toronto, ON
Added 2 months ago
R
Stage - Hiver 2027 - Support aux Programmes des GAP / Internship - Winter 2027 - APU Programs Support
RTX
Longueuil, QC
- Full-time
Added 2 months ago
SAP iXp Intern - Cloud Engineering [Vancouver]
SAP
Vancouver, BC
…want to help us build and launch our next generation Cloud Analytics platform in a fast-paced startup culture that has the muscle and stability of SAP? Here, you will be operating and…
Added 2 months ago
P
Senior Software Engineer- Big Data & Java
PointClickCare
Mississauga, ON
- $142,000 to $158,000 CAD / year
- Full-time
Added 2 months ago
P&
Gestionnaire, Analyse de la performance des produits et systèmes de données après-vente | Manager, Aftermarket Product Performance Analytics & Data Systems
Pratt & Whitney
Mississauga, ON
- Full-time
Titre du poste : Senior Manager, Aftermarket Product Performance Analytics & Data Systems
Added 2 months ago
P
SOC Automation Engineer
Paymentus
Richmond Hill, ON
- Full-time
We're hiring a SOC Automation Engineer! Are you a developer with a SecOps mindset? We are looking for an automation expert to build complex SOAR playbooks, integrate AI into our workflows,…
Added 2 months ago
B&
Asset Lifecycle Specialist - (Building Condition & Capital Forecasts)
Black & McDonald Limited
Markham, ON
- Full-time
Recognized Professional Engineer of Ontario or Certified Engineering Technologist designations would be considered an asset, or equivalent industry experience.
Added 2 months ago
TA
Data Architect (Knowledge Graph & Data Governance)
Tiger Analytics
Toronto, ON
- Full-time
Tiger Analytics is an advanced analytics consulting firm. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our…
Added 2 months ago
B
Senior Site Reliability Engineer I
Braze
Toronto, ON
- Full-time
Professional Experience: 5+ years of experience as a DevOps, or Site Reliability Engineer in a high-scale production environment
Added 2 months ago
B
Senior Site Reliability Engineer I
Braze
Vancouver, BC
- Full-time
Professional Experience: 5+ years of experience as a DevOps, or Site Reliability Engineer in a high-scale production environment
Added 2 months ago
Experienced Groundwater Modeller
WSP
Vancouver, BC
Support innovation through the application of emerging modelling, visualization, and data analytics tools.
Added 2 months ago
AM
Systems Validation Engineer – Data Center GPU
Advanced Micro Devices, Inc
Markham, ON
- Full-time
As a Systems Validation Engineer within the Datacenter and GPU Accelerated Processing division, you will drive SOC and system/rack level validation, triage and debug for the AMD Data Center…
Added 2 months ago
Lead Machine Learning Engineer - AI Innovation Teams
Fitch Group
Toronto, ON
Lead Machine Learning Engineer – AI Innovation Teams
Added 2 months ago
FE
Data Engineer
Future Electronics
Kirkland, QC
- Full-time
…collect, transform, store, and prepare data for reporting, analytics, machine learning, and AI initiatives. The Data Engineer ensures data is reliable, secure, accessible, and ready for…
Added 2 months ago
C
Generative AI Engineer
Capgemini
Toronto, ON · Greater Toronto Area, Canada
- Full-time
You are required to be in the office for 3 days per week
Added 2 months ago
Sr. Systems Engineer, Ruckus
Belden Inc
Cobourg, ON
Candidates must be based in the Montreal area and be fluent in both English and French
Added 2 months ago
W
Machine Learning Engineer - Financials
Workday
Vancouver, BC · Canada, BC, Vancouver
- Full-time
As a ML Engineer on the FIN Hyperautomation AI team, you will develop intelligent user experiences powered by advanced tools like (but not limited to) generative AI. You will work with…
Added 2 months ago
Q
Hardware Design Engineer – Application Engineering, Staff
Qualcomm
Ottawa, ON
- Full-time
…a smarter, connected future for all. As a Qualcomm Hardware Engineer, you will plan, design, optimize, verify, and test electronic systems, bring-up yield, circuits, mechanical systems,…
Added 2 months ago
Q
DSP Application Engineer, Staff
Qualcomm
Ottawa, ON
- Full-time
…a smarter, connected future for all. As a Qualcomm Hardware Engineer, you will plan, design, optimize, verify, and test electronic systems, bring-up yield, circuits, mechanical systems,…
Added 2 months ago
Consultant - Modernisation des applications | Consultant - Application Modernization, AWS Professional Services
Amazon
Montreal, QC
…closely with customers to design, develop, implement and re-engineer applications to fully leverage the AWS Cloud, including GenAI-accelerated modernization techniques. You'll be a key…
Added 2 months ago
Consultant senior - Modernisation des applications | Sr. Consultant - Application Modernization, AWS Professional Services
Amazon
Montreal, QC
…closely with customers to design, develop, implement and re-engineer applications to fully leverage the AWS Cloud, including GenAI-accelerated modernization techniques. You'll be a key…

Capgemini

Generative AI Engineer

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

The base compensation range for this role in the posted location is $46,400 to $100,090. · Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Pay: The base compensation range for this role in the posted location is $46,400 to $100,090.
Job type: Full-time
Posting language: English
Posted: Aug 26, 2026

Original job description

This is a full time Gen AI Junior Developer working in office in Toronto or Mississauga.

You will have 1 to 2 years working experience after your graduation
You are required to be in the office for 3 days per week

Job Description:

As a Generative AI Junior Developer at Capgemini, you'll leverage your expertise in large language models, agentic AI solutions, natural language processing algorithms, and software architecture to Design and implement advanced generative AI solutions. You'll collaborate with clients and internal teams to understand business requirements, lead solution design, and ensure compliance with governance frameworks.

Key Responsibilities:

Design and develop Generative AI and Agentic AI based solutions according to client needs considering factors such as data integration, scalability, and security.

Serve as the subject matter expert on AI technologies, hands-on development of GenAI solutions.

Evaluate and select appropriate generative AI components and algorithms based on project objectives.

Extensive knowledge and confidence in concepts of Deep Learning, Natural Language Processing and model building.

Define governance frameworks for the ethical use of generative AI technologies and ensure compliance with regulatory requirements.

Required skills :

2 years and less of professional work experience in designing, developing and implementing large language model (Open AI GPT's/other popular LLM's) implementations using Azure OpenAI service/Databricks.

Hands-on experience with Azure Machine Learning Studio, Notebooks, CLI, Experiment Management, Model Registry,

Deployment options, and Monitoring.

Proficient in MLOps and LLMOps, specializing in Computer vision and Natural language tasks like instance

segmentation, object detection, image classification, text classification, QA, translation and text generation.

Design, develop, and implement machine learning models, focusing on generative AI and NLP based on customer

requirements.

Data integration using Azure Data Factory and Data Lake Storage for AI and machine learning workloads.

Security and access control with Azure Active Directory and Azure RBAC within the Azure Machine Learning

workspace.

Strong proficiency in machine learning frameworks such as TensorFlow, PyTorch.

Familiarity with software architecture principles, cloud computing platforms, and containerization technologies.

Excellent problem-solving skills, analytical thinking, and communication skills.

The base compensation range for this role in the posted location is $46,400 to $100,090.

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
Life and disability insurance
Employee assistance programs
Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

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More about this job

Responsibilities

Design and implement advanced Generative AI and Agentic AI solutions tailored to client business requirements. Serve as a subject matter expert to ensure scalability, security, and compliance with ethical governance frameworks.

Requirements

Requires 1 to 2 years of professional experience implementing LLMs using Azure OpenAI or Databricks. Proficiency in MLOps, LLMOps, and deep learning frameworks like TensorFlow or PyTorch is essential.

Skills

Generative AI
Large Language Models
Agentic AI
Natural Language Processing
Azure OpenAI Service
Databricks
Azure Machine Learning Studio
MLOps
LLMOps
Computer Vision
TensorFlow
PyTorch
Azure Data Factory
Azure Data Lake Storage
Software Architecture
Containerization

Benefits

Paid time off
Vacation
Company paid holidays
Personal Days
Sick Leave
Medical coverage
Dental coverage
Vision coverage
Retirement savings plans
Life insurance
Disability insurance
Employee assistance programs

Visa sponsorship

Not detected in the job text

Keywords

Generative AI
LLM
Agentic AI
NLP
Azure OpenAI
Databricks
Azure Machine Learning
MLOps
LLMOps
Computer Vision
Instance Segmentation
Object Detection
Image Classification
Text Classification
TensorFlow
PyTorch
Azure Data Factory
Azure Data Lake Storage
Azure Active Directory
Azure RBAC
Deep Learning
Cloud Computing
Containerization
Software Architecture
Governance Frameworks
Ethical AI

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Work requirements

Jobs in Canada