Conversational AI Engineer; LLM & GenAI

Position: Conversational AI Engineer (LLM & GenAI)
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

Location - Atlanta GAJob Description We are seeking a highly motivated Conversational AI Engineer to design, develop, and deploy intelligent AI-powered conversational solutions. The ideal candidate will possess strong expertise in Large Language Models (LLMs), Natural Language Processing (NLP), Machine Learning, Generative AI, and Angular-based application development. This role requires hands-on experience building production-ready AI solutions, implementing Retrieval-Augmented Generation (RAG) architectures, and deploying scalable AI applications in cloud environments.

Key Responsibilities Design, develop, and deploy conversational AI solutions leveraging Large Language Models (LLMs) such as GPT, Llama, and other foundation models.

Build intelligent chatbots, virtual assistants, and AI-powered applications for enterprise use cases.

Implement Retrieval-Augmented Generation (RAG) architectures using vector databases and semantic search technologies.

Develop prompt engineering strategies and optimize prompts to improve response quality, accuracy, and user experience.

Evaluate, fine-tune, and optimize LLMs for business-specific applications.

Apply NLP techniques including intent recognition, text classification, sentiment analysis, entity extraction, summarization, and semantic search.

Utilize frameworks such as Tensor Flow, PyTorch, and other AI/ML platforms to build scalable solutions.

Analyze large datasets and continuously improve model performance through experimentation and optimization.

Manage the end-to-end lifecycle of AI and machine learning models using MLflow or similar MLOps tools.

Deploy, monitor, and maintain production-grade AI/GenAI applications.

Ensure reliability, scalability, and operational excellence of deployed AI solutions.

Integrate conversational AI capabilities into modern web applications using Angular.

Develop intuitive and responsive user interfaces for AI-powered experiences.

Collaborate with backend and AI teams to seamlessly connect LLM and ML services with enterprise applications.

Implement real-time conversational experiences and intelligent user interactions.

Validate and review LLM solution architectures to ensure performance, governance, and scalability.

Deploy AI and machine learning models on cloud platforms such as Azure, AWS, or Google Cloud Platform.

Stay current with advancements in Generative AI, Conversational AI, LLMs, NLP, and emerging AI technologies.

Develop proof-of-concepts, prototypes, and pilot solutions to evaluate new technologies.

Required Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Data Science, or a related field.
5+ years of hands-on experience in AI development, data analysis, and machine learning.

Proven experience building and deploying production-grade AI/ML solutions.

Strong expertise in Conversational AI, Generative AI, NLP, and Large Language Models (LLMs).

Experience with Lang Chain or similar LLM orchestration frameworks.

Hands-on experience implementing RAG solutions using vector databases.

Experience with GPT, Llama, or other commercial/open-source LLMs.Strong proficiency in Python and software engineering best practices.

Experience with Angular and modern web application development.

Knowledge of MLflow or similar MLOps platforms for model lifecycle management.

Experience with Tens…