Mid-Level Full-Stack AI Engineer

Mid-Level Full-Stack AI Engineer

Position Description
CGI is a global IT and business consulting services firm with a strong presence across industries and geographies. Our professionals collaborate with clients to deliver innovative, scalable technology solutions that drive meaningful business outcomes. At CGI, you'll be part of a collaborative, ownership-driven culture where your ideas, expertise, and contributions help shape the future of technology.

CGI is seeking an experienced and innovative Mid-Level Full-Stack AI Engineer to join our growing AI engineering team. In this role, you will lead the design, development, and deployment of scalable AI-powered applications using modern full-stack technologies, machine learning, and generative AI. You will play a key role in advancing CGI's AI Platform, developing intelligent solutions that integrate backend services, APIs, large language models (LLMs), data pipelines, and intuitive frontend experiences to address complex business challenges.

This opportunity is ideal for a hands-on engineer who thrives in a fast-paced, collaborative environment and demonstrates strong technical ownership, problem-solving capabilities, and a product-focused mindset. You will work closely with cross-functional teams to deliver production-ready AI solutions, lead development of key features and client use cases, contribute to architectural decisions, and mentor junior engineers while promoting engineering excellence and continuous improvement.

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
• Lead the design, development, and deployment of end-to-end AI-powered applications, including backend services, APIs, data pipelines, model integrations, and user-facing interfaces

• Architect, build, and maintain scalable, secure, and high-performance backend services using Python and develop responsive frontend applications using Angular

• Design and implement generative AI, large language model (LLM), natural language processing (NLP), document classification, optical character recognition (OCR), and conversational AI solutions

• Lead machine learning model inference, training, fine-tuning, and optimization efforts to deliver reliable, production-ready AI capabilities

• Develop and optimize RESTful APIs, system integrations, and database solutions to support seamless interoperability, performance, and scalability across AI platform components

• Implement and maintain CI/CD pipelines and containerized deployments using Docker, Kubernetes, and cloud technologies to support efficient and reliable software delivery

• Collaborate with product managers, data scientists, UI/UX designers, and engineering teams to translate business requirements into technical designs and high-impact AI-driven features

• Lead the technical development of client-focused AI use cases leveraging CGI's AI Platform, driving assigned features from solution design through production deployment

• Monitor, troubleshoot, and optimize production applications to ensure system availability, security, reliability, performance, and operational efficiency

• Mentor junior engineers, participate in architecture and design reviews, provide technical guidance, and champion software engineering best practices across the development lifecycle

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

• 2+ years of professional experience in full-stack application development, with strong proficiency in Python for backend development and Angular for frontend development

• 2+ years of hands-on experience designing and developing AI-powered products or solutions involving generative AI, NLP, document classification, chatbots, OCR, or related intelligent automation technologies

• Demonstrated experience with machine learning concepts, LLM inference, model integration, and the development and deployment of AI-enabled applications

• Strong experience designing and developing RESTful APIs, integrating distributed application components, and applying software architecture and system design principles

• Hands-on experience with Docker, Kubernetes, and container orchestration concepts, including deployment and management of applications in production environments

• Proficiency with relational and non-relational databases, including database design, querying, performance tuning, and optimization techniques

• Experience leveraging cloud platforms such as Microsoft Azure or Google Cloud Platform (GCP) to develop, deploy, manage, and scale AI applications

• Knowledge of secure software development practices, data privacy regulations, compliance requirements, and responsible AI principles

• Strong analytical, troubleshooting, communication, and collaboration skills, with demonstrated ownership of technical deliverables, the ability to guide junior team members, and adaptability in a fast-paced, evolving technology environment

Desired qualifications / Strongly Preferred

• Experience developing production-grade applications using LLM frameworks, orchestration libraries, or AI development tools such as LangChain, Hugging Face, or similar technologies

• Hands-on experience implementing retrieval-augmented generation (RAG), vector databases, embeddings, prompt engineering, or AI agent architectures

• Experience with model fine-tuning, model evaluation, MLOps practices, and monitoring AI models in production environments

• Experience building and maintaining automated CI/CD pipelines, testing frameworks, and deployment workflows using GitHub Actions, Azure DevOps, or similar tools

• Experience designing and deploying AI-powered solutions using Microsoft Azure AI services, Google Cloud AI services, or related cloud-native AI technologies

• Demonstrated experience leading technical feature development, mentoring engineers, contributing to architectural decisions, and delivering customer-focused AI solutions

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 $79,600.00 $109,500.00.
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

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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.

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

Qualified applicants will receive consideration for employment without regard to their race, ethnicity, ancestry, color, sex, religion, creed, age, national origin, citizenship status, disability, pregnancy, medical condition, military and veteran status, marital status, sexual orientation or perceived sexual orientation, gender, gender identity, and gender expression, familial status or responsibilities, reproductive health decisions, political affiliation, genetic information, height, weight, or any other legally protected status or characteristics to the extent required by applicable federal, state, and/or local laws where we do business.

CGI provides reasonable accommodations to qualified individuals with disabilities. If you need an accommodation to apply for a job in the U.S., please email the CGI U.S. Employment Compliance mailbox at View email address on clients.njoyn.com . You will need to reference the Position ID of the position in which you are interested. Your message will be routed to the appropriate recruiter who will assist you. Please note, this email address is only to be used for those individuals who need an accommodation to apply for a job. Emails for any other reason or those that do not include a Position ID will not be returned.

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All CGI offers of employment in the U.S. are contingent upon the ability to successfully complete a background investigation. Background investigation components can vary dependent upon specific assignment and/or level of US government security clearance held. Dependent upon role and/or federal government security clearance requirements, and in accordance with applicable laws, some background investigations may include a credit check. CGI will consider for employment qualified applicants with arrests and conviction records in accordance with all local regulations and ordinances.

CGI will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. However, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with CGI’s legal duty to furnish information.