Retrieval Augmented Generation Rag Jobs in Texas

Develop Retrieval-Augmented Generation (RAG) solutions and AI workflows. Work with Large Language Models (LLMs) such as OpenAI, Azure OpenAI, or similar platforms. Collaborate with product managers ...

Fine-tune foundation models and implement Retrieval-Augmented Generation (RAG) architectures. * Develop REST APIs and microservices using FastAPI, Flask, or similar frameworks to expose AI models.

We are seeking a highly skilled AI Engineer with hands-on experience in agent development, Retrieval-Augmented Generation (RAG), agentic workflows , and platforms such as Cursor AI . The ideal ...

We are seeking a highly skilled AI Engineer with hands-on experience in agent development, Retrieval-Augmented Generation (RAG), agentic workflows , and platforms such as Cursor AI . The ideal ...

... Retrieval-Augmented Generation (RAG) pipelines, and Agent SDKs - Skilled in building and deploying AI/LLM systems in production environments - Familiarity with AI agents, including evaluation ...

Develop and maintain Retrieval-Augmented Generation (RAG) architectures using vector databases and semantic search technologies * Create, test, and refine prompts, structured outputs, and evaluation ...

Develop and maintain Retrieval-Augmented Generation (RAG) architectures using vector databases and semantic search technologies * Create, test, and refine prompts, structured outputs, and evaluation ...

Develop and maintain Retrieval-Augmented Generation (RAG) architectures using vector databases and semantic search technologies * Create, test, and refine prompts, structured outputs, and evaluation ...

Design, develop, and implement enterprise AI applications utilizing Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). * Develop AI-assisted search, summarization, and question ...

Design, develop, and implement enterprise AI applications utilizing Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). * Develop AI-assisted search, summarization, and question ...

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

In this role, you will design, build, and enhance intelligent applications thatleverageLarge Language Models (LLMs), document processing pipelines, Retrieval-Augmented Generation (RAG) architectures ...

Engineer robust Retrieval-Augmented Generation (RAG) solutions that aggregate diverse business intelligence-spanning strategic client priorities, communication history, and value metrics-to ensure ...

Advanced expertise in Prompt Engineering, fine-tuning, and Retrieval-Augmented Generation (RAG) techniques. Experience working with Vector databases and text embeddings. Experience within Google ...

Engineer robust Retrieval-Augmented Generation (RAG) solutions that aggregate diverse business intelligence-spanning strategic client priorities, communication history, and value metrics-to ensure ...

Engineer robust Retrieval-Augmented Generation (RAG) solutions that aggregate diverse business intelligence-spanning strategic client priorities, communication history, and value metrics-to ensure ...

... Retrieval-Augmented Generation (RAG) frameworks to enhance knowledge retrieval and response accuracy. • Manage and optimize vector databases (e.g., Pinecone, Weaviate) for semantic search and ...

Retrieval-Augmented Generation (RAG) * Embeddings & Vector Databases * Fine-tuning LLMs * Python * TensorFlow * PyTorch * Scikit-learn * Data Preprocessing & Feature Engineering * Model Training ...

... Retrieval-Augmented Generation (RAG) Embeddings & Vector Databases Fine-tuning LLMs Python TensorFlow PyTorch Scikit-learn Data Preprocessing & Feature Engineering Model Training, Validation ...

Experience building Retrieval-Augmented Generation (RAG) solutions and working with vector databases such as Pinecone, Weaviate, Chroma, Milvus, or Azure AI Search. * Experience with Agentic AI ...