Jr.-Level Full-Stack AI Engineer

CGI is seeking a Junior Full-Stack AI Engineer to build and deploy scalable AI-powered applications as part of its AI engineering team. The role develops backend services, APIs, data pipelines, model integrations, and frontend experiences, and collaborates with cross-functional teams to deliver production-ready AI solutions.

What you'll do:

• Design, develop, and deploy end-to-end AI-powered applications, including backend services, APIs, data pipelines, model integrations, and user-facing interfaces
• Build and maintain scalable, secure, and high-performance backend services using Python and develop responsive frontend applications using Angular
• Implement and integrate generative AI, large language models (LLMs), natural language processing (NLP), document classification, optical character recognition (OCR), and conversational AI capabilities
• Support machine learning model inference, training, fine-tuning, and optimization to deliver reliable, production-ready AI solutions
• Develop and maintain RESTful APIs, system integrations, and database solutions that enable seamless communication across AI platform components
• Deploy and manage containerized applications using Docker, Kubernetes, and CI/CD pipelines to support reliable and scalable software delivery
• Collaborate with product managers, data scientists, UI/UX designers, and engineering teams to translate business requirements into innovative AI-driven features
• Design and implement client-focused AI use cases leveraging CGI's AI Platform, taking ownership of assigned features from development through deployment
• Monitor, troubleshoot, and optimize application performance, reliability, security, and scalability across development and production environments
• Contribute to technical design discussions, code reviews, knowledge sharing, and peer mentoring while promoting engineering best practices and continuous improvement

What they're looking for:

• Bachelor's degree in Computer Science, Artificial Intelligence, Software Engineering, or a related technical discipline, or equivalent practical experience
• 0–2 years of hands-on experience in full-stack application development, with proficiency in Python for backend development and Angular for frontend development
• 0–2 years of practical experience developing or contributing to AI-powered applications involving generative AI, NLP, document classification, chatbots, OCR, or related intelligent automation capabilities, including academic or project-based experience
• Foundational understanding of machine learning, LLM inference, model integration, and the software development practices required to build AI-enabled applications
• Working knowledge of RESTful APIs, system integration patterns, and modern software engineering principles
• Understanding of containerization and orchestration technologies, including Docker and Kubernetes, and their use in deploying and managing applications
• Experience working with relational and non-relational databases, including database design, querying, and performance optimization concepts
• Familiarity with cloud computing platforms such as Microsoft Azure or Google Cloud Platform (GCP) for application development, deployment, or AI workloads
• Understanding of secure development practices, data privacy principles, regulatory considerations, and responsible AI development
• Strong analytical, problem-solving, and communication skills, with the ability to collaborate across technical and business teams, adapt to emerging technologies, and demonstrate ownership and accountability in a fast-paced environment
• Experience developing applications using LLM frameworks, orchestration libraries, or AI development tools such as LangChain, Hugging Face, or similar technologies
• Familiarity with retrieval-augmented generation (RAG), vector databases, embeddings, prompt engineering, or AI agent development

Benefits:

• Comprehensive insurance options
• Matching contributions through the 401(k) plan and the share purchase plan
• Paid time off for vacation, holidays, and sick time
• Paid parental leave
• Learning opportunities and tuition assistance
• Wellness and Well being programs