Full Stack AI Engineer

Position Description

CGI is seeking a Full‑Stack AI Engineer to join our dynamic team, where you'll be responsible for building scalable AI‑powered applications from backend development, API construction, LLM model inference, Python scripting to frontend deployment. This role requires a strong blend of machine learning knowledge, software engineering skills, and system design knowledge to deliver intelligent systems that solve real‑world problems.

Location:

This role can be in any CGI office, however, Knoxville is the preferred location.

• Design, develop, and deploy end‑to‑end Full‑Stack product development for an AI Platform, including data pipelines, model training, APIs, and user‑facing screens.
• Build and maintain scalable, efficient, and secure backend systems using Python.
• Inference/train and fine‑tune machine learning and GenAI models.
• Integrate AI models into production‑grade software with consideration for latency, performance, and scalability.
• Collaborate with product managers, data scientists, and UI/UX designers to deliver high‑impact features.
• Deploy applications using CI/CD pipelines and containerization tools like Docker and Kubernetes.
• Manage and optimize databases for performance and reliability.
• Implement system integrations and ensure seamless operation across various components.
• Monitor and improve production‑level systems, ensuring uptime, performance, and reliability.
• Design and solve use cases from customers using CGI AI Platform.

• Educational background:
  Typically a bachelor’s or master’s degree in computer science, artificial intelligence, or a related field.
• Strong sense of ownership and accountability, with a focus on delivering production‑ready systems. Always ready to work with a startup mentality.
• Full‑stack development experience with additional qualifications below:
• Solid understanding and experience building a product/solution leveraging GenAI, NLP, Document Classification, developing chatbots and OCR development, including experience with NLP libraries and tools.
• Solid understanding of Kubernetes concepts and experience managing containerized applications in production environments.
• Proficiency in relational and non‑relational databases, with a strong understanding of database optimization techniques.
• Cloud computing:
  Experience with cloud platforms e.g. Azure, GCP for deploying and scaling AI systems.
• Effective communication skills for collaborating with cross‑functional teams and explaining technical concepts to non‑technical stakeholders.
• Problem‑solving:
  The ability to tackle complex issues and adapt to rapidly evolving AI technologies.
• Privacy and compliance knowledge:
  Understanding of data privacy regulations, security best practices, and ethical considerations in AI development.

$55,700.00 - $.

• 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

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 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 US_ You will need to reference the Position  the position in which you are interested.