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CGI

Winter 2027 : AI Developer Co-op (8 months)

Toronto, ON, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: Dec 3, 2026
Posting language: English
Posted: Nov 3, 2026

Original job description

The AI Developer (Co-op) will contribute to the design, development, and deployment of AI-powered software solutions, with a strong focus on Generative AI, Agentic AI, LLM integration, and intelligent application development.

This is a hands-on engineering role centered on building AI-driven features, services, and applications. The successful candidate will work within an Agile team to implement scalable AI solutions, integrate modern AI models into enterprise systems, and deliver production-ready capabilities that drive business value.

Other tasks may be required as part of meeting evolving business and technology objectives.

Your future duties and responsibilities

AI Application Development & LLM Integration

Design, develop, and implement AI-powered applications and features.
Integrate LLMs and Generative AI capabilities (e.g., OpenAI, Azure OpenAI, Gemini) into enterprise systems.
Build AI-driven services such as chatbots, copilots, summarization tools, and intelligent automation solutions.
Develop backend components and APIs to support AI functionality.
Implement prompt engineering strategies and manage model interactions (context handling, chaining, tool use).
Build reusable AI modules and frameworks for internal use.
Optimize performance, latency, and cost of AI API usage.
Participate in code reviews, testing, debugging, and performance tuning.

AI System Engineering & Deployment

Integrate AI models into production systems via APIs and microservices.
Support deployment of AI applications in cloud environments (Azure, AWS, GCP).
Contribute to CI/CD pipelines and version control practices.
Ensure scalability, reliability, and maintainability of AI solutions.
Apply responsible AI practices, including monitoring outputs and handling edge cases.

Technical Collaboration & Documentation

Collaborate with developers, architects, and stakeholders to implement AI solutions.
Document system architecture, APIs, and AI workflows.
Support demos and technical walkthroughs of AI solutions.

Required Qualifications To Be Successful In This Role

Education:

Bachelor’s degree (in progress) in Computer Science, Engineering, Data Science, Software Engineering, or related technical field.
AI, ML, or cloud certifications are considered an asset.

Knowledge:

Strong programming skills in Python and familiarity with Java or .NET.
Experience integrating LLMs / Generative AI APIs (OpenAI, Azure OpenAI, etc.).
Understanding of prompt engineering, embeddings, and AI application patterns.
Understanding of Agentic AI
Experience building APIs and backend services.
Familiarity with AI/ML frameworks (TensorFlow, PyTorch, or similar).
Experience with Git, debugging, and development tools.
Strong problem-solving and software engineering fundamentals (OOP, data structures).
Ability to work in Agile environments and collaborate effectively.

Together, as owners, let’s turn meaningful insights into action.

Life at CGI is rooted in ownership, teamwork, respect and belonging. Here, you’ll reach your full potential because…

You are invited to be an owner from day 1 as we work together to bring our Dream to life. That’s why we call ourselves CGI Partners rather than employees. We benefit from our collective success and actively shape our company’s strategy and direction.

Your work creates value. You’ll develop innovative solutions and build relationships with teammates and clients while accessing global capabilities to scale your ideas, embrace new opportunities, and benefit from expansive industry and technology expertise.

You’ll shape your career by joining a company built to grow and last. You’ll be supported by leaders who care about your health and well-being and provide you with opportunities to deepen your skills and broaden your horizons.

At CGI, we value the strength that diversity brings and are committed to fostering a workplace where everyone belongs. We collaborate with our clients to build more inclusive communities and empower all CGI partners to thrive. As an equal-opportunity employer, being able to perform your best during the recruitment process is important to us. If you require an accommodation, please inform your recruiter.

That same commitment to fairness extends to how we use technology. To support our recruitment team, AI tools may be used to help assess applications though they never replace human judgement. All hiring decisions remain entirely in the hands of our recruitment professionals.

To learn more about accessibility at CGI, contact us via email. Please note that this email is strictly for accessibility requests and cannot be used for application status inquiries.

Come join our team - one of the largest IT and business consulting services firms in the world.

Apply About employer

More about this job

Responsibilities

Develop AI-powered applications, features, and backend services, integrating large language models and generative AI capabilities into enterprise systems. Help deploy and maintain scalable AI solutions in cloud environments, contribute to testing and CI/CD practices, apply responsible AI principles, and document and demonstrate solutions.

Requirements

Applicants must be pursuing a bachelor's degree in computer science, engineering, data science, software engineering, or a related technical field, and have strong Python skills with familiarity in Java or .NET. The role also calls for knowledge of LLM and generative AI integration, prompt engineering, embeddings, Agentic AI, APIs, AI/ML frameworks, Git, debugging, software engineering fundamentals, and Agile collaboration.

Skills

Python
Java
.NET
Generative AI
Agentic AI
Prompt Engineering
Embeddings
API Development
Backend Services
TensorFlow
PyTorch
Git
Cloud Deployment
Agile Collaboration
Object-Oriented Programming

Visa sponsorship

Not detected in the job text

Keywords

Artificial Intelligence
Generative AI
Agentic AI
Large Language Models
OpenAI
Azure OpenAI
Gemini
Prompt Engineering
Embeddings
Chatbots
Copilots
Intelligent Automation
Python
Java
.NET
APIs
Backend Services
TensorFlow
PyTorch
Git
Azure
AWS
Google Cloud Platform
CI/CD
Microservices
Agile
Responsible AI
Object-Oriented Programming
Data Structures
IT Consulting

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