Job description

seeking a hands-on Gen AI / Agentic AI Lead to drive the development and deployment of next-generation AI solutions using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI frameworks. • 5 8 years of experience in software engineering or data science, with 2 3 years in Gen AI or LLM-based systems. • Strong Python programming skills and experience with ML/AI libraries (Hugging Face Transformers, LangChain, PyTorch). • Hands-on experience with vector databases (FAISS, Pinecone, Weaviate, Azure AI Search). • Familiarity with cloud platforms and Gen AI services (AWS, Azure, Google Cloud Platform). • Experience with REST API development (FastAPI, Flask) and containerization (Docker). • Solid understanding of AI governance, model safety, and prompt engineering. This position is based out of Raleigh, NC / Richardson, TX / Tempe, AZ / Phoenix, AZ / Charlotte, NC / Houston, TX /Alpharetta, GA / Palm Beach , FL / Sunnyvale, CA. Key Responsibilities • Design, develop, and deploy Gen AI applications using LLMs and agentic frameworks (e.g., LangGraph, AutoGen, Crew AI). • Fine-tune open-source and proprietary LLMs using techniques like LoRA, QLoRA, and PEFT. • Build and optimize RAG pipelines with hybrid retrieval, semantic chunking, and vector search. • Integrate Gen AI solutions with cloud-native services (AWS Bedrock, Azure OpenAI, Google Cloud Platform Vertex AI). • Work with unstructured data (PDFs, HTML, audio, images) and multimodal models. • Implement LLMOps practices including prompt versioning, caching, observability, and cost tracking. • Evaluate model performance using tools like RAGAS, DeepEval, and FMeval. • Collaborate with product managers, data engineers, and UX teams to deliver production-ready solutions. • Mentor junior engineers and contribute to code reviews, design discussions, and best practices. Preferred Data Scientist Qualifications: • Exposure to agentic workflows and autonomous agents. • Experience with CI/CD pipelines and DevOps tools (GitHub Actions, Jenkins, Terraform). • Familiarity with front-end integration (React, Angular, TypeScript) and GraphQL APIs. • Knowledge of model interpretability, bias mitigation, and human-in-the-loop systems. • Experience with multimodal models and perception systems (e.g., vision + language).

Requirements