Summer Retrieval Augmented Generation Jobs in Texas

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

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# ...

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 ...

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 ...

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 ...

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 ...

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 ...

Design, develop, test, and iterateAIworkflows, agentic systems, retrieval-augmented generation (RAG) applications, andAIpipelines. * Technical Experimentation & Evaluation * Conduct model ...

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 ...

... 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 ...

... 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 ...

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 ...

Hands-on experience developing AI-powered applicationsusing OpenAI APIs, LangChain, and Retrieval-Augmented Generation (RAG). Proven ability to optimize system performance, modernize legacyplatforms ...

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 ...

Design and implement retrieval-augmented generation pipelines using embeddings and vector databases. * Develop agentic AI workflows capable of multi-step reasoning, tool usage, and task automation.

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 ...

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