Retrieval Augmented Generation Jobs in Texas (NOW HIRING)

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# ...

Overview We are seeking a Senior GenAI / Agentic AI Engineer to design, build, and deploy enterprise-scale AI applications that leverage Large Language Models (LLMs), Retrieval-Augmented Generation ...

Architect Retrieval-Augmented Generation ( RAG ) systems, including vector store design, hybrid search strategies, chunking pipelines, and context relevance evaluation. * Apply MLOps best practices ...

Familiarity with retrieval-augmented generation (RAG) and prompt engineering. * Strong problem-solving skills and ability to work in fast-paced AI environments. Preferred: * Experience with open ...

... retrieval-augmented generation (RAG) pipelines with memory, context management, and tool usage. • Define Model Context Protocol (MCPs) to chain reasoning, retrieval, and action models. • Hands-on ...

Develop and optimize Retrieval-Augmented Generation (RAG) pipelines for Large Language Models (LLMs) to provide contextually relevant and accurate outputs. This includes ingesting, processing, and ...

Build and integrate solutions using Large Language Models (OpenAI, Gemini, Claude, Llama, etc.). * Assist in developing Retrieval-Augmented Generation (RAG) pipelines and AI agents. * Write clean ...

... retrieval-augmented generation (RAG) pipelines with memory, context management, and tool usage. • Define Model Context Protocol (MCPs) to chain reasoning, retrieval, and action models. • Hands-on ...

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) * 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) and context engineering pipelines from audit knowledge sources and the integration into AI agent workflows; design and implement the use of metadata across ...

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

Build knowledge graph pipelines integrating multiple data sources to support LLM fine-tuning and retrieval-augmented generation workflows. * Set up scalable data pipelines for model training ...

Implement prompt engineering, RAG (Retrieval-Augmented Generation), and AI-driven automation use cases. * Build AI-enabled features such as chatbots, document processing, and recommendation systems.

Hands-on experience with LLMs, prompt engineering, and RAG (Retrieval-Augmented Generation). * Cloud Computing: Deep understanding of core AWS services. * SDLC: Familiarity with DevOps, CI/CD, and ...

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 ...

... and retrieval-augmented generation. * Engineering integrations between data platforms, governance, risk, and compliance workflows, and enterprise systems using application programming interfaces ...

Retrieval-augmented generation and semantic search * Knowledge graph and GraphRAG-based approaches for connecting structured business data, unstructured text, and entity relationships in AI assistant ...

... and retrieval-augmented generation. * Engineering integrations between data platforms, governance, risk, and compliance workflows, and enterprise systems using application programming interfaces ...