Retrieval Augmented Generation Rag Jobs in North Carolina

Preferred Qualifications Experience with Retrieval-Augmented Generation (RAG) patterns. Experience with prompt engineering and LLM orchestration frameworks. Experience building Al agents, copilots ...

Lead the design and deployment of advanced Retrieval-Augmented Generation (RAG) systems and Agentic AI architectures that are tailored for legal and regulatory intelligence platforms * Drive ...

Model evaluation * Retrieval-Augmented Generation (RAG) * Experience working in enterprise or customer-facing systems is a plus Good to Have * NLP experience related to conversational AI

... Retrieval-Augmented Generation (RAG) systems to improve knowledge retrieval from large datasets. • Work with knowledge graphs to organize and integrate healthcare-specific data for enhanced ...

Design and oversee the development of optimized RAG (Retrieval Augmented Generation) pipelines that incorporate varied data sources and formats to improve prompt execution. * Establish best practices ...

Retrieval-Augmented Generation (RAG) architectures * Autonomous agent development * Enterprise-scale AI solution design * Software architecture and engineering standards definition * Team leadership ...

... Retrieval-Augmented Generation (RAG) systems to improve knowledge retrieval from large datasets. • Work with knowledge graphs to organize and integrate healthcare-specific data for enhanced ...

This role is centered on building next-generation agentic AI solutions powered by retrieval-augmented generation (RAG), leveraging modern orchestration frameworks such as LangGraph and Model Context ...

Design scalable AI platforms leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, and modern cloud services. * Develop AI reference architectures, reusable ...

Design scalable AI platforms leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, and modern cloud services. * Develop AI reference architectures, reusable ...

Design scalable AI platforms leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, and modern cloud services. * Develop AI reference architectures, reusable ...

Lead the integration of Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG) frameworks, utilizing tools such as LangChain, LangGraph, or similar. * Develop and deliver cutting-edge ...

Design scalable AI platforms leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, and modern cloud services. * Develop AI reference architectures, reusable ...

Large Language Models (LLMs) Vector Databases Retrieval Augmented Generation (RAG) Solid understanding of Generative AI platforms. Strong experience using records with live models. Strong background ...

Preferred Qualifications Experience with Retrieval-Augmented Generation (RAG) patterns. Experience with prompt engineering and LLM orchestration frameworks. Experience building Al agents, copilots ...

Experience with Retrieval-Augmented Generation (RAG) * Understanding of Vector Databases (Azure AI Search, Pinecone, ChromaDB, FAISS, etc.) * Experience using LangChain, Semantic Kernel, or Microsoft ...

Retrieval-Augmented Generation (RAG) * Vector Databases * LLM Evaluation & Optimization * Python / C# / JavaScript Development * REST APIs & Enterprise Integration Patterns * Azure Cloud Architecture

AI/ML architecture, ML and Generative AI (GenAI) use cases, Large Language Models (LLMs), RAG (Retrieval-Augmented Generation), LangChain, LangGraph,CI/CD for AI pipelines Min experience: 10+ Years

Retrieval-Augmented Generation (RAG) * Experience working in enterprise or customer-facing systems is a plus Nice to have Skills: NLP experience related to conversational AI * Develop and maintain AI ...

Retrieval-Augmented Generation (RAG) * Agent-Based Workflows * Multi-Agent Systems * Model Context Protocol (MCP) * AI Orchestration Tool Chaining * Autonomous Agentic Systems Preferred ...