Senior Full-Stack AI Engineer

CGI is seeking a Senior Full-Stack AI Engineer to design, build, and deliver scalable AI-powered applications across backend services, data pipelines, LLM inference, frontend experiences, and cloud-native deployment. The role leads AI feature development and customer use cases, collaborates across product and technical teams, and mentors junior engineers.

Responsibilities

• Lead the design, development, and deployment of end-to-end full-stack solutions for an AI platform, including data pipelines, model capabilities, APIs, and user-facing applications
• Build and maintain scalable, efficient, secure, and production-ready backend services using Python
• Train, fine-tune, evaluate, and perform inference with machine learning and generative AI models
• Integrate AI and LLM capabilities into production applications while optimizing latency, performance, reliability, and scalability
• Collaborate with product managers, data scientists, UI/UX designers, engineers, and other stakeholders to deliver high-impact features and client solutions
• Build and deploy applications through CI/CD pipelines using containerization and orchestration technologies such as Docker and Kubernetes
• Manage and optimize relational and non-relational databases to support application performance, scalability, and reliability
• Design system integrations and ensure seamless interoperability across platform components and enterprise systems
• Monitor and continuously improve production systems to maintain availability, performance, security, and operational reliability
• Lead the technical design and delivery of customer use cases using the CGI AI platform while mentoring junior engineers and supporting Agile delivery

Skills

• Bachelor's or master's degree in computer science, artificial intelligence, engineering, or a related field, or equivalent practical experience
• 5+ years of full-stack software development experience, including strong hands-on expertise with Python backend development and Angular frontend development
• 2+ years of hands-on experience building products or solutions using generative AI, NLP, document classification, conversational AI/chatbots, OCR, or related AI technologies
• Hands-on experience with NLP libraries, AI/ML frameworks, LLM inference, model integration, and production AI application development
• Strong understanding of Kubernetes concepts and experience deploying and managing containerized applications in production environments
• Proficiency with relational and non-relational databases, including database design, performance tuning, and optimization techniques
• Experience with cloud platforms such as Microsoft Azure or Google Cloud Platform (GCP) for deploying and scaling applications and AI workloads
• Strong ownership and accountability with the ability to deliver production-ready systems in a fast-moving, iterative environment
• Effective communication and collaboration skills, including the ability to explain complex technical concepts to technical and non-technical stakeholders
• Strong problem-solving skills with knowledge of data privacy, security best practices, compliance requirements, and responsible AI considerations
• Experience leading a small Agile/Scrum development team and maintaining delivery against sprint commitments
• Experience designing enterprise-scale AI or generative AI platforms and reusable AI services
• Experience with CI/CD automation, Docker, Kubernetes, observability, and modern cloud-native application architectures
• Experience designing and implementing Retrieval-Augmented Generation (RAG), LLM-powered applications, or enterprise AI integrations
• Demonstrated ability to mentor engineers and provide technical leadership across complex, cross-functional initiatives

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

Company Overview

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