AI Engineer

Capco•Charlotte, NC

34d•Hybrid

About The Position

As a member of the Capco Technology Delivery Team, you'll bring practical knowledge of agile development methodologies and engineering best practices. As an AI Engineer, you'll play an integral role using your experience and skills to contribute to the quality and implementation of our projects. We are seeking a highly skilled and experienced Senior GenAI Engineer who will be instrumental in designing, developing, and deploying modern generative AI solutions, leveraging expertise in foundation models, agentic AI systems, and full-stack application development. You will work across the entire AI lifecycle, from research and prototyping to production deployment and monitoring, contributing to high-impact transformative projects.

Requirements

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related quantitative field
5+ years of experience in software development with a strong focus on AI/ML
Proven experience in building and deploying Generative AI models (e.g., LLMs, diffusion models) in production environments
Demonstrated expertise in designing and implementing agentic AI systems and multi-agent architectures
Strong understanding and practical experience with the Model Context Protocol (MCP) for AI system integration
Solid experience with full-stack application development
Extensive experience with cloud platforms (AWS, Azure, or GCP) for AI/ML deployments and general application hosting
Experience with LLMOps tools and practices (e.g., Langfuse, Langsmith, etc)
Excellent problem-solving, analytical, and communication skills
Ability to work independently and collaboratively in a fast-paced, agile environment
Willingness to work in the Charlotte office 3 days/week.

Responsibilities

Design, develop, and fine-tune applications built around foundation models (e.g., LLMs, multimodal models) for specific business needs
Implement and experiment with generative AI techniques, including but not limited to Retrieval-Augmented Generation (RAG) and prompt engineering
Lead the implementation of intelligent autonomous agents and multi-agent systems capable of complex decision-making, task execution, and interaction with external systems
Utilize and contribute to agentic AI frameworks (e.g., LangChain, AutoGen, Semantic Kernel, Crew AI) to build robust and scalable AI agents
Develop and integrate Model Context Protocol (MCP) solutions to standardize how AI applications access and utilize external data sources, tools, and real-time information
Lead the development of full-stack applications that integrate generative AI models and agentic systems, ensuring seamless user experiences
Work with front-end technologies (e.g., React, Angular, Vue.js, JavaScript, TypeScript, HTML, CSS) and back-end frameworks (e.g., Python with Flask/Django/FastAPI, Node.js, Go)
Design and implement scalable RESTful APIs and microservices to expose AI functionalities
Deploy, manage, and optimize AI/ML workloads and full-stack applications on at least one major cloud platform (AWS, Azure, or GCP)
Implement LLMOps/MLOps and DevOps best practices for continuous integration, continuous delivery (CI/CD), model deployment, monitoring, and lifecycle management
Stay abreast of the latest advancements in generative AI, agentic systems, foundation models, and related fields through continuous research and experimentation
Collaborate effectively with cross-functional teams, including product managers, data scientists, researchers, and other engineers
Mentor junior engineers, share knowledge, and foster a culture of technical excellence

Benefits

We offer highly competitive benefits, including medical, dental, and vision insurance, a 401(k) plan, tuition reimbursement, and a work culture focused on innovation and creation of lasting value for our clients and employees.

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