Retrieval Augmented Generation Rag Jobs in North Carolina

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 ...

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 ...

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 ...

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 ...

... Retrieval-Augmented Generation (RAG), AI Agents, and Vector Databases. - Experience with Git, Azure DevOps, CI/CD pipelines, Docker, and Kubernetes. - Strong problem-solving, analytical, and ...

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 ...

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

Familiarity with vector databases and Retrieval-Augmented Generation (RAG). * Experience with SQL and NoSQL databases (PostgreSQL, MySQL, MongoDB). * Knowledge of messaging systems such as Kafka or ...

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 ...

You should design and implement Retrieval-Augmented Generation (RAG) architectures using vector databases. * Experience in build intelligent AI Agents and Agentic workflows for enterprise automation.

Understanding of Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agentic AI, model selection, and evaluation approaches * Experience defining functional and non-functional ...

Prompt engineering Model evaluation Retrieval-Augmented Generation (RAG) Experience working in enterprise or customer-facing systems is a plus Nice to have Skills: NLP experience related to ...

Retrieval-Augmented Generation (RAG) architectures * Prompt engineering techniques * Agentic AI workflows and orchestration * Build intelligent systems using frameworks such as LangChain, LangGraph ...

Implement 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 ...