AI Engineer

Capgemini; Mississauga; On-site; CAD 70,000 - 90,000; Full time

Job summary

A leading technology consulting firm in Canada seeks talented new graduates for AI Engineer positions. The role involves designing, developing, and deploying production-ready AI solutions, working at the intersection of machine learning and software engineering. Candidates will collaborate with cross-functional teams, utilizing innovative technologies including Large Language Models and cloud ML infrastructure. The position offers a dynamic work environment with opportunities for professional growth and hands-on experience in cutting-edge AI applications.

Benefits

Flexible work options

Comprehensive benefits program

Tuition assistance

Qualifications

• Bachelor's degree in computer science, Engineering, AI, Data Science, or a related field.
• Strong coursework in machine learning, deep learning, algorithms, and data structures.
• Proficiency in Python with core libraries like NumPy, pandas, and Matplotlib.

Responsibilities

• Design, develop, and deploy AI/ML models and applications for production.
• Build end-to-end AI systems including data pipelines and inference APIs.
• Collaborate with cross-functional teams to translate business requirements.

Skills

Python programming

Machine learning

Deep learning

Problem-solving

Communication skills

Teamwork skills

Education

Bachelor's degree in computer science, Engineering, AI, or Data Science

Tools

TensorFlow

PyTorch

scikit-learn

Job description

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

Life at Capgemini

Capgemini Supports All Aspects Of Your Well‑being Throughout the Changing Stages Of Your Life And Career. For Eligible Employees, We Offer

• Collaborating with teams of creative, fun, and driven colleagues
• Flexible work options enabling time and location‑based flexibility
• Virtual collaboration and productivity tools to enable hybrid teams
• Comprehensive benefits program (Health, Welfare, Retirement and Paid time off)
• Other perks and wellness benefits like discount programs, and gym/studio access.
• Paid Parental Leave and coaching, baby welcome gift, and family care/illness days
• Tuition assistance and weekly hot skill development opportunities
• Experiential, high‑impact learning series events
• Access to mental health resources and mindfulness programs
• Access to join Capgemini Employee Resource Groups around communities of interest

About Capgemini

Capgemini is a global leader in partnering with companies to transform and manage their business by harnessing the power of technology. The Group is guided everyday by its purpose of unleashing human energy through technology for an inclusive and sustainable future. It is a responsible and diverse organization of over 360,000 team members in more than 50 countries. With its strong 55‑year heritage and deep industry expertise, Capgemini is trusted by its clients to address the entire breadth of their business needs, from strategy and design to operations, fueled by the fast evolving and innovative world of cloud, data, AI, connectivity, software, digital engineering and platforms. The Group reported in 2022 global revenues of €22 billion.

Get The Future You Want | www.capgemini.com

Disclaimer

Capgemini is an Equal Opportunity Employer encouraging diversity in the workplace. 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 accommodations do not pose an undue hardship.

Capgemini is committed to providing reasonable accommodations during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

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