Retrieval Augmented Generation Rag Jobs in Dallas, TX

GPT, Claude • Prompt Engineering • RAG (Retrieval Augmented Generation) • AWS Cloud • Strong architectural and hands on GenAI expertise • Experience with enterprise automation and testing ...

Design and implement Retrieval Augmented Generation (RAG) solutions using Azure AI Search and vector databases. * Develop scalable data ingestion, transformation, and preprocessing pipelines to ...

Design and implement retrieval-augmented generation (RAG) systems using embeddings, vector databases, and semantic search technologies. * Build evaluation frameworks, including benchmark datasets ...

Design and implement solutions leveraging large language models (LLMs), embeddings, retrieval-augmented generation (RAG), and conversational AI frameworks. * Build secure integrations between AI ...

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

Design and implement retrieval-augmented generation (RAG) systems using embeddings, vector databases, and semantic search technologies. * Build evaluation frameworks, including benchmark datasets ...

Design and implement retrieval-augmented generation (RAG) frameworks to support enterprise search, reasoning, and decision-support use cases. * Architect and develop AI-powered document ingestion ...

Experience building Retrieval-Augmented Generation (RAG), vector database integrations, tool calling, function calling, and LLM-based applications. * Ability to independently own user stories from ...

... Retrieval-Augmented Generation (RAG) pipelines using vector databases Integrate AI services with enterprise systems, APIs, and data platforms Develop backend services and APIs using FastAPI / Flask ...

Design and implement retrieval-augmented generation (RAG) systems using embeddings, vector databases, and semantic search technologies. * Build evaluation frameworks, including benchmark datasets ...

Design and implement retrieval-augmented generation (RAG) frameworks to support enterprise search, reasoning, and decision-support use cases. * Architect and develop AI-powered document ingestion ...

We are seeking an experienced Senior Generative AI Developer to design and implement cutting-edge AI solutions leveraging Retrieval-Augmented Generation (RAG) techniques. The ideal candidate will ...

Design and implement retrieval-augmented generation (RAG) systems using embeddings, vector databases, and semantic search technologies. * Build evaluation frameworks, including benchmark datasets ...

Design and implement retrieval-augmented generation (RAG) frameworks to support enterprise search, reasoning, and decision-support use cases.* Architect and develop AI-powered document ingestion ...

This role focuses on leveraging Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI agents, workflow orchestration frameworks, and enterprise system integrations to automate ...

Design scalable and robust GenAI architectures using LLMs, multimodal models, and retrieval-augmented generation (RAG). * Fine-tune foundation models using domain-specific data. * Implement prompt ...

The ideal candidate will understand how to design data foundations that support analytical workloads, machine learning, large language models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic ...

Optimize retrieval-augmented generation (RAG) solutions through embedding evaluation, metadata design, reranking approaches, citation quality assessment, and knowledge freshness validation. * Develop ...

Design scalable and robust GenAI architectures using LLMs, multimodal models, and retrieval-augmented generation (RAG). * Fine-tune foundation models using domain-specific data. * Implement prompt ...

Optimize retrieval-augmented generation (RAG) solutions through embedding evaluation, metadata design, reranking approaches, citation quality assessment, and knowledge freshness validation. * Develop ...