Generative AI Engineer

Job Title: Generative AI Engineer Location: Charlotte, NC Contract Length- 12+ Months Contract Experience: 10+ Years Role Overview We are seeking a skilled Generative AI Engineer with hands-on experience in Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AWS infrastructure. The ideal candidate will have a strong background in building AI-powered solutions using frameworks like LangChain and LangGraph, while leveraging AWS Bedrock for deployment. Key Responsibilities • Design, develop, and optimize RAG-based AI pipelines. • Build and orchestrate AI applications using LangChain, LangGraph, and related frameworks. • Deploy, manage, and scale AI workloads on AWS infrastructure (including AWS Bedrock). • Integrate external LLMs such as Claude into enterprise applications. • Work with cross-functional teams to enable seamless Palantir integration. • Contribute to solution architecture, prompt engineering, and performance optimization. • Stay updated with advancements in Generative AI, LLMs, and orchestration frameworks. Required Qualifications • Proven hands-on experience with Generative AI models and LLMs. • Strong expertise in RAG modeling and orchestration frameworks (LangChain, LangGraph). • Solid background in AWS infrastructure (EC2, S3, Lambda, Bedrock, etc.). • Experience in LLM integration and API-based deployments. • Strong understanding of AI system design, vector databases, and data pipelines. Nice to Have • Proficiency in Python for AI/ML development. • Prior experience integrating with Claude LLM. • Exposure to Palantir Foundry / Apollo. • Knowledge of MLOps practices for LLM deployments.