Retrieval Augmented Generation Rag Jobs in Mountain View, CA

... RAG - Practical experience implementing retrieval-augmented generation pipelines for context-aware AI applications • MCP (Model Context Protocol) - Practical experience with MCP client/server ...

Expertise in conversational AI architectures, agent orchestration harnesses, and Retrieval-Augmented Generation (RAG) for knowledge libraries. * Track record of technical leadership partnering with ...

Build solutions utilizing Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), and other emerging AI technologies. * Evaluate AI applications ...

Build solutions utilizing Large Language Models (LLMs), AI agents, Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), and other emerging AI technologies. * Evaluate AI applications ...

Hands-on experience building applications that leverage generative AI models, including prompt engineering and retrieval-augmented generation (RAG) * Experience with generative AI research or ...

Develop applications using Large Language Models (LLMs) and modern AI techniques such as Retrieval-Augmented Generation (RAG) with external AI APIs. * Create models for content understanding and ...

Architect and implement Retrieval-Augmented Generation (RAG) pipelines to enhance model performance using external knowledge sources, including document chunking, embedding generation, and retrieval ...

Strong expertise in Generative AI technologies , including Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and Agentic AI architectures . * Hands-on experience developing AI ...

Develop and productionize sophisticated AI systems, including fine-tuning open-source LLMs, building advanced Retrieval-Augmented Generation (RAG) pipelines, experience in advanced prompt engineering ...

Familiarity with embeddings, vector databases, or retrieval augmented generation (RAG). * Experience deploying services in cloud environments (AWS, Azure, or GCP). * Interest in agentic AI ...

Experience building Retrieval-Augmented Generation (RAG) solutions and proficiency with frameworks like LangChain, LangGraph, LlamaIndex, and Semantic Kernel. * Experience with embeddings, semantic ...

This role focuses on building robust Retrieval-Augmented Generation (RAG) pipelines to ensure AI agents and applications have access to the most relevant, timely, and high-quality information. You'll ...

Build and optimize retrieval-augmented generation (RAG) systems. * Collaborate closely with product and engineering teams to turn early prototypes into production-grade systems. * Help shape the ...

Build agent capabilities including tool / function calling, context and memory management, multi-agent orchestration, retrieval-augmented generation (RAG), and human-in-the-loop checkpoints.

Retrieval-augmented generation (RAG) pipelines and vector-based semantic search systems Representation learning and semantic embeddings for clustering, categorization, and content understanding Model ...

Build agent capabilities including tool / function calling, context and memory management, multi-agent orchestration, retrieval-augmented generation (RAG), and human-in-the-loop checkpoints.

This role focuses on building robust Retrieval-Augmented Generation (RAG) pipelines to ensure AI agents and applications have access to the most relevant, timely, and high-quality information. You'll ...

Build, evaluate, and optimize LLM-based workflows, including prompting, developing skills, retrieval-augmented generation (RAG and Graph-RAG), benchmarking, and quality evaluation. * Machine Learning ...

Own production retrieval-augmented generation (RAG) pipelines and retrieval infrastructure, including vector databases, embeddings, and indexing for domain-specific search at scale. * Implement multi ...

Build, evaluate, andoptimizeLLM-based workflows, including prompting, developing skills, retrieval-augmented generation (RAG and Graph-RAG), benchmarking, and quality evaluation. * Machine Learning ...