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Jr.-Level Full-Stack AI Engineer Category: Analytics and Emerging Digital Technologies
Main location: United States, Tennessee, Knoxville
Position ID:J1026-0867
Employment Type: Full Time
Position Description: CGI is seeking a motivated and innovative Junior Full-Stack AI Engineer to join our growing AI engineering team. In this role, you will design, develop, and deploy scalable AI-powered applications using modern full-stack technologies, machine learning, and generative AI. You will contribute to the development of CGI's AI Platform, building intelligent solutions that integrate backend services, APIs, large language models (LLMs), data pipelines, and intuitive frontend experiences to solve real-world business challenges.
This opportunity is ideal for an emerging engineer who thrives in a fast-paced, collaborative environment and brings a strong sense of ownership, technical curiosity, and a product-focused mindset. You will work closely with cross-functional teams to deliver production-ready AI solutions, contribute to technical design decisions, take ownership of assigned features and use cases, and share knowledge with fellow engineers.
Location: This position may be based in any CGI office in the United States, with Knoxville, TN, as the preferred location.
Your future duties and responsibilities:• 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
Required qualifications to be successful in this role:• 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
Desired qualifications / Strongly Preferred
• 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
• Exposure to model fine-tuning, model evaluation, MLOps practices, or production AI model monitoring
• Experience implementing CI/CD pipelines and automated testing using tools such as GitHub Actions, Azure DevOps, or similar platforms
• Experience building AI-powered solutions on cloud platforms, particularly Microsoft Azure AI services or Google Cloud AI services
• Demonstrated initiative through personal projects, internships, academic research, or contributions to AI and full-stack software development initiatives
Other Information:
CGI is required by law in some jurisdictions to include a reasonable estimate of the compensation range for this role. The determination of this range includes various factors not limited to skill set, level, experience, relevant training, and licensure and certifications. To support the ability to reward for merit based performance, CGI typically does not hire individuals at or near the top of the range for their role. Compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range for this role in the U.S. is $62,900.00 $110,100.00.
CGI's benefits are offered to eligible professionals on their first day of employment to include:
. Competitive compensation
. 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
Skills: - Angular
- Artificial Intelligence
- Cloud Computing
- Kubernetes
- Python
