Retrieval Augmented Generation Rag Jobs in Berkeley, CA

Onsite -- Pleasanton, CA Gen AI Lead - RAG (Retrieval-Augmented Generation) Specialist We are looking for a highly skilled Gen AI Lead specializing in Retrieval-Augmented Generation (RAG) to join our ...

Design and implement Retrieval-Augmented Generation (RAG) solutions, knowledge retrieval systems, and AI-powered assistants. * Evaluate emerging AI technologies, frameworks, and infrastructure to ...

Develop Retrieval-Augmented Generation (RAG) systems across structured and unstructured healthcare data. * Optimize prompts, workflows, evaluation systems, and agent behavior. * Implement knowledge ...

Develop Retrieval-Augmented Generation (RAG) systems across structured and unstructured healthcare data. * Optimize prompts, workflows, evaluation systems, and agent behavior. * Implement knowledge ...

Retrieval-augmented generation (RAG) systems for dynamic hotel and travel searches * Preference engines that learn and evolve from member interactions * Lightweight AI orchestration layers integrated ...

The ideal candidate should have hands-on expertise with Retrieval-Augmented Generation (RAG), Agentic AI workflows, and LLM-based automation, with the ability to integrate AI systems into complex ...

Implement Retrieval-Augmented Generation (RAG) and orchestrate AI agents using tools like LangChain, LangGraph, or CrewAI. * Integrate Large Language Models (LLMs) with enterprise vector databases ...

The ideal candidate will have hands-on experience with Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, prompt engineering, vector databases, and cloud-native AI ...

... retrieval-augmented generation (RAG) and search, and AI-enabled automation embedded directly into customer-facing applications and enterprise workflows such as claims, payment integrity, clinical ...

Design and build cloud-native systems supporting AI-powered products, including LLM applications, retrieval-augmented generation (RAG), AI agents, model evaluation, and production inference services.

From early-stage use case discovery through production deployment and monitoring, you'll work across the full AI lifecycle-leveraging large language models (LLMs), retrieval-augmented generation (RAG ...

Key responsibilities include overseeing the design, implementation, and optimization of LLM-powered applications, retrieval-augmented generation (RAG) systems, AI agents, custom models, advanced ...

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 ...

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 ...

Deep understanding of Large Language Model (LLM) architectures, prompt engineering, retrieval-augmented generation (RAG), and advanced text generation techniques. * Proven experience implementing ...

Design, develop, and deploy AI-driven solutions leveraging Retrieval-Augmented Generation (RAG), large language models (LLMs), and vector database technologies. * Build scalable clinical document ...

... retrieval-augmented generation (RAG), and advanced text generation techniques. • Proven experience implementing parameter-efficient fine-tuning (PEFT) techniques (e.g., LoRA) to customize and ...

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

F amiliarity with Retrieval-Augmented Generation (RAG) architectures and vector databases is a plus. Contract Details: * C ontract role with potential for extension. * L ocation: San Francisco ...