Retrieval Augmented Generation Rag Jobs in Los Angeles, CA

Design and implement AI features using retrieval-augmented generation (RAG) pipelines to deliver context-aware insights and recommendations. * Leverage Model Context Protocol (MCP) and similar ...

... Retrieval-Augmented Generation (RAG), as well as knowledge management, data governance, quality, and architecture in enterprise contexts. * Hands-on experience building or supporting data pipelines ...

... Retrieval-Augmented Generation (RAG), as well as knowledge management, data governance, quality, and architecture in enterprise contexts. * Hands-on experience building or supporting data pipelines ...

... Retrieval-Augmented Generation (RAG), as well as knowledge management, data governance, quality, and architecture in enterprise contexts. * Hands-on experience building or supporting data pipelines ...

Deep applied understanding of LLM-based architectures, retrieval-augmented generation (RAG),vector embeddings, prompt engineering, and agent orchestration * Experience designing, building, and ...

Experience with graph OR vector databases, semantic retrieval, retrieval-augmented generation (RAG,) or agentic AI use cases. * Strong experience designing conceptual, logical, and physical data ...

Oversee the development of enterprise Retrieval-Augmented Generation (RAG) pipelines, semantic chunking strategies, and vector database integrations * Implement strict evaluation and observability ...

Develop and fine-tune retrieval-augmented generation (RAG) systems over scientific literature corpora for real-time knowledge synthesis * Collaborate with materials scientists, computational chemists ...

Knowledge of vector databases, knowledge graphs, and retrieval-augmented generation (RAG) patterns Familiarity with cloud platforms (Azure/AWS/GCP), containers, and infrastructure-as-code Conceptual ...

Oversee the development of enterprise Retrieval-Augmented Generation (RAG) pipelines, semantic chunking strategies, and vector database integrations. * Implement strict evaluation and observability ...

Oversee the development of enterprise Retrieval-Augmented Generation (RAG) pipelines, semantic chunking strategies, and vector database integrations. * Implement strict evaluation and observability ...

... Retrieval-Augmented Generation (RAG) systems, semantic search, and vector databases • Strong understanding of prompt engineering, prompt optimization, model evaluation, and AI agent design patterns ...

Designs, implements, and optimizes retrieval-augmented generation (RAG) pipelines that combine large language models (LLMs) with vector search/retrieval systems. * Builds data ingestion and embedding ...

Build and operationalize LLM-powered applications using Retrieval-Augmented Generation (RAG), embeddings pipelines, and prompt orchestration frameworks. * Design and implement vector search systems ...

Retrieval-Augmented Generation (RAG) * Embeddings pipelines * Prompt orchestration and evaluation frameworks * Design and implement vector search systems using Amazon OpenSearch * Develop graph-based ...

Develop Retrieval Augmented Generation (RAG) solutions leveraging vector databases and enterprise knowledge stores. * Implement prompt engineering, context engineering, memory management, and ...

... Retrieval-Augmented Generation (RAG) systems for document Q&A, enabling business teams to query fund documents, investor letters, and market research. • Design, deploy, and manage vector database ...

... Retrieval-Augmented Generation (RAG) systems for document Q&A, enabling business teams to query fund documents, investor letters, and market research. • Design, deploy, and manage vector database ...

... Retrieval-Augmented Generation (RAG) systems for document Q&A, enabling business teams to query fund documents, investor letters, and market research • Design, deploy, and manage vector database ...

Build an enterprise-grade Retrieval-Augmented Generation (RAG) system integrating knowledge bases, business data, and real-time information. Support permission-aware retrieval, citation tracing ...