Retrieval Augmented Generation Rag Jobs in Houston, TX

Develop Retrieval-Augmented Generation (RAG) pipelines for intelligent document retrieval and question-answering systems. * Implement personalized recommendation engines using cutting-edge frameworks ...

Build and deploy RAG (Retrieval-Augmented Generation) systems & AI chat interfaces * Work closely with client data science teams (ML/DL ecosystems) * Develop GenAI-based enterprise knowledge ...

Strong understanding of LLM frameworks (RA, or similar) and retrieval-augmented generation (RAG). · * Expertise in designing structured prompt frameworks, few-shot prompting, and prompt performance ...

Retrieval-Augmented Generation (RAG) * Design and optimize RAG pipelines, including document ingestion, chunking strategies, embedding models, vector store selection, and retrieval ranking for ...

Retrieval-Augmented Generation (RAG) * Design and optimize RAG pipelines, including document ingestion, chunking strategies, embedding models, vector store selection, and retrieval ranking for ...

Retrieval-Augmented Generation (RAG) * Design and optimize RAG pipelines including document ingestion, chunking strategies, embedding models, vector store selection, and retrieval ranking for ...

This role requires hands?on experience implementing Generative AI capabilities such as Retrieval-Augmented Generation (RAG), knowledge graphs, and AI agents, as well as collaborating with cross ...

Strong understanding of LLM prompt engineering, embeddings, and foundational Retrieval-Augmented Generation (RAG) concepts. * Proficiency in building microservices and integrating them into complex ...

Build advanced retrieval-augmented generation (RAG) systems including vector databases, embedding strategies, chunking optimization, hybrid search, re-ranking, and multi-source data synthesis

Build and maintain Retrieval-Augmented-Generation (RAG) systems, Reinforcement Learning frameworks, guardrail and assessment mechanisms for end to end lifecycle for customized models. * Collaborate ...

Build and maintain Retrieval-Augmented-Generation (RAG) systems, Reinforcement Learning frameworks, guardrail and assessment mechanisms for end to end lifecycle for customized models. * Collaborate ...

Build and maintain Retrieval-Augmented-Generation (RAG) systems, Reinforcement Learning frameworks, guardrail and assessment mechanisms for end to end lifecycle for customized models. * Collaborate ...

From early-stage use case discovery through production deployment and monitoring, you'll work across the full AI lifecycle-leveraging large language models (LLMs), retrieval-augmented generation (RAG ...

Experience building or supporting AI-enabled applications using LLM APIs, retrieval-augmented generation (RAG), knowledge bases, AI agents, or similar technologies. * Strong troubleshooting skills ...

Experience building or supporting AI-enabled applications using LLM APIs, retrieval-augmented generation (RAG), knowledge bases, AI agents, or similar technologies. * Strong troubleshooting skills ...

Building or contributing to agentic workflows, retrieval-augmented generation (RAG), and LLM-powered automation solutions * Proficiency with integration and automation platforms (e.g., Logic Apps ...

Building or contributing to agentic workflows, retrieval-augmented generation (RAG), and LLM-powered automation solutions * Proficiency with integration and automation platforms (e.g., Logic Apps ...

The ideal candidate has strong experience designing and building AI-enabled enterprise applications using Python, Generative AI, Retrieval-Augmented Generation, or RAG, Azure cloud infrastructure, C# ...

Build and deploy RAG (Retrieval-Augmented Generation) systems & AI chat interfaces Work closely with client data science teams (ML/DL ecosystems) Develop GenAI-based enterprise knowledge solutions ...

Proficient in large language models (LLMs), retrieval-augmented generation (RAG), vector databases, and orchestration frameworks to design autonomous, context-aware systems that reason, plan, and act.