Retrieval Augmented Generation Rag Jobs in California

... retrieval-augmented generation (RAG) systems. • Collaborate closely with product and engineering teams to turn early prototypes into production-grade systems. • Help shape the future of AI ...

Familiarity with vector databases (e.g., FAISS, Milvus, Pinecone) and retrieval augmented generation (RAG). * Experience deploying AI models to production environments. * Strong understanding of data ...

... RAG (Retrieval-Augmented Generation) models for efficient AI-driven data retrieval. • Implement semantic search and high-speed querying mechanisms for AI-driven insights. • Develop AI-powered ...

Advanced AI/ML: Strong expertise in Large Language Models (LLMs), including techniques like prompt engineering and Retrieval-Augmented Generation (RAG) * Coding Excellence: Proficiency in ...

AI-Augmented Engineering * Design and develop Agentic AI solutions and Retrieval-Augmented Generation (RAG) pipelines. * Utilize Amazon Bedrock and enterprise LLMs for intelligent automation.

Familiarity with Large Language Models (LLMs) and Generative AI (GenAI) technologies including Retrieval-Augmented Generation (RAG) and model tuning. * Familiarity with SLMs: model design and fine ...

... retrieval-augmented generation (RAG) systems. • Collaborate closely with product and engineering teams to turn early prototypes into production-grade systems. • Help shape the future of AI ...

Build and optimize Retrieval-Augmented Generation (RAG) solutions, including document ingestion, indexing, embeddings, vector search, reranking, retrieval optimization, grounding, and evaluation ...

Familiarity with concepts such as prompt engineering, Retrieval-Augmented Generation (RAG), embeddings, AI memory, or model evaluation is a plus. * Exposure to AI frameworks, libraries, APIs, or ...

Implement Retrieval-Augmented Generation (RAG), Model Context Protocol (MCP), and other advanced AI integration technologies. * Create AI-native workflow automation solutions using skills-based ...

Build and scale Retrieval-Augmented Generation (RAG) pipelines, multi-agent orchestrations, and API integrations connecting LLMs to internal databases and enterprise software. * Evaluations ...

... retrieval-augmented generation (RAG) systems. • Collaborate closely with product and engineering teams to turn early prototypes into production-grade systems. • Help shape the future of AI ...

Additionally, the candidate will implement Retrieval-Augmented Generation (RAG) models and fine-tune open-source models from leading providers like Meta, Google, Deepseek, and Nvidia. Collaboration ...

Build AI-enabled APIs and services utilizing Retrieval-Augmented Generation (RAG), vector databases, semantic search, and prompt engineering techniques where applicable. * Evaluate and recommend AI ...

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

... Retrieval-Augmented Generation (RAG) • Collaborated with AI architects and MLOps teams to ensure Responsible AI, data governance, security, and access controls • Translate complex workflows into ...

Retrieval-Augmented Generation (RAG) architectures * Prompt engineering techniques * Agentic AI workflows and orchestration * Build intelligent systems using frameworks such as LangChain, LangGraph ...

Retrieval-Augmented Generation (RAG) architectures * Prompt engineering techniques * Agentic AI workflows and orchestration * Build intelligent systems using frameworks such as LangChain, LangGraph ...

Retrieval-Augmented Generation (RAG) architectures * Prompt engineering techniques * Agentic AI workflows and orchestration * Build intelligent systems using frameworks such as LangChain, LangGraph ...

This role centers on hands-on development of retrieval-augmented generation (RAG) systems, fine-tuning LLMs, and AWS-native microservices that drive automation, insight, and governance in an ...