Retrieval Augmented Generation Rag Jobs in Texas

You will play a key role in building scalable systems that leverage retrieval-augmented generation (RAG), conversational AI, and cloud-native architectures . Minimum Qualifications * 10+ years of ...

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

Built scalable Retrieval-Augmented Generation (RAG) pipelines using vector databases and embedding models. * Designed AI agents with tool calling , function execution , and secure workflow ...

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), Agentic AI, ModelOps, Evaluation, Observability, and AI Governance. Future duties and responsibilities · Enterprise GenAI Architecture · Define and govern the ...

OOP, design patterns, modular architecture. • Develop and optimize Retrieval-Augmented Generation (RAG) pipelines for Large Language Models (LLMs) to provide contextually relevant and accurate ...

Retrieval-Augmented Generation (RAG) pipelines and vector databases (e.g., Pinecone, FAISS) * API development and integration (FastAPI, REST, microservices) * Cloud platforms: AWS / Azure / GCP ...

Apply retrieval augmented generation (RAG) techniques to data to populate and query vector databases (e.g. Weaviate) * Build custom applications with LLM frameworks such as LangChain, DSPy ...

Expertise in Prompt Engineering , RAG (Retrieval-Augmented Generation) , AI Agents , and Fine-Tuning . * Hands-on experience with LangChain, LangGraph, LlamaIndex, CrewAI, AutoGen, Semantic Kernel ...

Apply retrieval augmented generation (RAG) techniques to data to populate and query vector databases (e.g. Weaviate) * Build custom applications with LLM frameworks such as LangChain, DSPy ...

Apply retrieval augmented generation (RAG) techniques to data to populate and query vector databases (e.g. Weaviate) * Build custom applications with LLM frameworks such as LangChain, DSPy ...

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 ...

Retrieval-Augmented Generation (RAG) pipelines and vector databases (e.g., Pinecone, FAISS) * API development and integration (FastAPI, REST, microservices) * Cloud platforms: AWS / Azure / GCP ...

Manage project priorities, deadlines, and deliverables. • Fine tune foundation models and building adaptors for new applications (llama factory, PEFT) • Apply retrieval augmented generation (RAG ...

Build infrastructure for routing and managing LLM service calls, develop prompt engineering and completion pipelines, and integrate retrieval-augmented generation (RAG) frameworks. * Design and ...

Bank Role Overview 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 ...

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 ...

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

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

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