Job Description

Mississauga


AI Engineer



Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world.



We are seeking talented new graduates to join our team as AI Engineers. You'll design, build, and deploy production-ready AI solutions that solve real-world business problems - working at the intersection of machine learning and software engineering. This role offers hands-on experience with cutting-edge technologies including Large Language Models, cloud ML infrastructure, and end-to-end AI system development in a collaborative, fast-paced environment.

Key Responsibilities

Design, develop, and deploy AI/ML models and Generative AI applications for production use cases Build end-to-end AI systems including data pipelines, model training infrastructure, and inference APIs Develop intelligent applications using Large Language Models (AI agents, chatbots, RAG systems, automation workflows) Integrate AI models into applications through REST APIs, microservices, and cloud-native architectures Deploy and manage models on cloud platforms (Azure, AWS, or GCP) with focus on scalability and reliability Collaborate with cross-functional teams to translate business requirements into technical solutions Write clean, well-documented code and participate in code reviews Stay current with the latest research and emerging trends in AI/ML and LLMs

Required Skills

Bachelor's degree in computer science, Engineering, AI, Data Science, or related field Strong coursework in machine learning, deep learning, algorithms, and data structures Proficiency in Python programming with core libraries (NumPy, pandas, Matplotlib) Experience with ML frameworks: TensorFlow, PyTorch, or scikit-learn Understanding of transformer architectures, embeddings, and how LLMs work Familiarity with REST APIs, vector databases, and prompt engineering concepts Knowledge of cloud AI platforms (Azure, AWS, or GCP) Strong problem-solving, communication, and teamwork skills Hands-on experience through internships, co-ops, academic projects, or personal portfolio

Nice to Have

Experience with Large Language Models (GPT, Claude, Llama) and OpenAI APIs or Hugging Face Transformers Familiarity with LLM frameworks (LangChain, LlamaIndex, Semantic Kernel) Familiarity with Agentic AI frameworks (LangGraph, Pydantic, Strands, ADK) Experience building AI agents, multi-agent systems, or autonomous workflows Knowledge of RAG (Retrieval-Augmented Generation) systems and vector databases Production deployment experience on Azure ML, AWS SageMaker, or GCP Vertex AI Understanding of Git, Docker, CI/CD practices, and MLOps tools Experience with model fine-tuning or training from scratch GitHub portfolio with documented AI/ML projects Kaggle competitions, hackathons, or open-source contributions
The base compensation range for this role in the posted location is: CAD 60,000 - CAD 80,000


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.





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.




Ref. code
385153-en_GB
Posted on
29 Dec 2025
Experience level
Experienced Professionals
Contract type
Permanent
Location
Mississauga
Business unit
ABL AMERICAS
Brand
Capgemini
Professional communities
Software Engineering