Senior Conversational AI Engineer — LLM & GenAI

Capgemini; Atlanta (GA); On-site; USD 80,000 - 90,000; Full time

Benefits offered by this job

Paid time off

Medical, dental, and vision coverage

Retirement savings plan (e.g., 401(k)

Job summary

Capgemini seeks a highly motivated Conversational AI Engineer to design, develop, and deploy AI-powered conversational solutions in an Atlanta-based role. Focus areas include LLMs, NLP, GenAI, and Angular-based app development.

You will build chatbots, implement RAG, craft prompts, and optimize models for enterprise use. The role requires hands-on experience with TensorFlow or PyTorch, LangChain, MLflow, and cloud deployment on Azure/AWS/GC.

Qualifications

• Bachelor’s or Master’s in CS/AI/ML or related field.
• 5+ years hands-on AI development and production ML deployment.
• Strong experience with conversational AI, NLP and LLMs.

Responsibilities

• Design, develop, and deploy AI-powered conversational solutions.
• Implement Retrieval-Augmented Generation (RAG) architectures with vector DBs.
• Develop prompts and optimize LLM prompts for quality and UX.
• Fine-tune and optimize models for business use cases.
• Integrate AI capabilities into Angular-based web apps.
• Deploy, monitor, and maintain production AI solutions on cloud.

Skills

LLMs

NLP

Generative AI

Prompt engineering

Angular

Education

Bachelor's or Master's in CS/AI/ML

Data Science-related degree

Tools

LangChain

TensorFlow

PyTorch

MLflow

Job description

Capgemini seeks a highly motivated Conversational AI Engineer to design, develop, and deploy AI-powered conversational solutions in an Atlanta-based role. Focus areas include LLMs, NLP, GenAI, and Angular-based app development.

You will build chatbots, implement RAG, craft prompts, and optimize models for enterprise use. The role requires hands-on experience with TensorFlow or PyTorch, LangChain, MLflow, and cloud deployment on Azure/AWS/GC.