Senior/Lead Full-Stack AI Engineer
5 days ago
Knoxville, TN, United States
Jooble
Full-time
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Senior/Lead Full-Stack AI Engineer
• Lead the design, development, and deployment of end-to-end full stack capabilities for CGI’s AI Platform, including data pipelines, model training and inference, APIs, backend services, and user-facing applications • Build and maintain scalable, efficient, secure, and production-ready backend systems using Python • Train, fine-tune, evaluate, and perform inference with machine learning and Generative AI models to support enterprise use cases • Integrate AI and LLM capabilities into production-grade applications with a focus on latency, performance, security, reliability, and scalability • Partner with product managers, data scientists, UI/UX designers, engineers, and other stakeholders to design and deliver high-impact features and customer solutions • Deploy and operate applications using CI/CD practices, containerization, Kubernetes, and cloud platforms • Design, manage, and optimize relational and non-relational databases for performance, scalability, and reliability • Lead technical design and implementation of system integrations while monitoring and continuously improving production systems • Translate customer challenges into technical use cases and solutions using CGI’s AI Platform • Mentor junior team members, provide technical leadership, and lead or support a small Scrum team to maintain quality and delivery commitments Required qualifications to be successful in this role
• Bachelor’s or master’s degree in Computer Science, Artificial Intelligence, Engineering, or a related field, or equivalent relevant experience • 5+ years of full stack software development experience, including significant hands-on expertise with Python backend development and Angular frontend development • 2+ years of hands-on experience building products or solutions leveraging Generative AI, NLP, document classification, chatbots, OCR, or related AI capabilities • Hands-on experience with NLP libraries, machine learning frameworks, LLMs, model inference, model training, and/or fine-tuning techniques • 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 optimization, and reliability practices • Experience with cloud platforms such as Microsoft Azure or Google Cloud Platform (GCP) for deploying and scaling AI-enabled applications • Strong software engineering and system design skills with demonstrated ownership and accountability for delivering production-ready systems in fast-paced environments • Strong problem-solving capabilities and the ability to evaluate and adapt to rapidly evolving AI technologies • Effective communication and leadership skills, including the ability to collaborate across functional teams and explain complex technical concepts to non-technical stakeholders Desired qualifications / Strongly Preferred • Experience leading a small Agile or Scrum development team and maintaining delivery against commitments • Experience designing and operating enterprise-grade AI platfor
Position Description
CGI is one of the world’s largest IT and business consulting services firms, helping clients achieve meaningful outcomes through technology, innovation, and industry expertise. Our professionals work collaboratively across teams and geographies to solve complex challenges and deliver solutions that create lasting value for our clients.
• Lead the design, development, and deployment of end-to-end full stack capabilities for CGI’s AI Platform, including data pipelines, model training and inference, APIs, backend services, and user-facing applications • Build and maintain scalable, efficient, secure, and production-ready backend systems using Python • Train, fine-tune, evaluate, and perform inference with machine learning and Generative AI models to support enterprise use cases • Integrate AI and LLM capabilities into production-grade applications with a focus on latency, performance, security, reliability, and scalability • Partner with product managers, data scientists, UI/UX designers, engineers, and other stakeholders to design and deliver high-impact features and customer solutions • Deploy and operate applications using CI/CD practices, containerization, Kubernetes, and cloud platforms • Design, manage, and optimize relational and non-relational databases for performance, scalability, and reliability • Lead technical design and implementation of system integrations while monitoring and continuously improving production systems • Translate customer challenges into technical use cases and solutions using CGI’s AI Platform • Mentor junior team members, provide technical leadership, and lead or support a small Scrum team to maintain quality and delivery commitments Required qualifications to be successful in this role
• Bachelor’s or master’s degree in Computer Science, Artificial Intelligence, Engineering, or a related field, or equivalent relevant experience • 5+ years of full stack software development experience, including significant hands-on expertise with Python backend development and Angular frontend development • 2+ years of hands-on experience building products or solutions leveraging Generative AI, NLP, document classification, chatbots, OCR, or related AI capabilities • Hands-on experience with NLP libraries, machine learning frameworks, LLMs, model inference, model training, and/or fine-tuning techniques • 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 optimization, and reliability practices • Experience with cloud platforms such as Microsoft Azure or Google Cloud Platform (GCP) for deploying and scaling AI-enabled applications • Strong software engineering and system design skills with demonstrated ownership and accountability for delivering production-ready systems in fast-paced environments • Strong problem-solving capabilities and the ability to evaluate and adapt to rapidly evolving AI technologies • Effective communication and leadership skills, including the ability to collaborate across functional teams and explain complex technical concepts to non-technical stakeholders Desired qualifications / Strongly Preferred • Experience leading a small Agile or Scrum development team and maintaining delivery against commitments • Experience designing and operating enterprise-grade AI platfor