Retrieval Augmented Generation Rag Jobs in Berkeley, CA

Implement and optimize Retrieval-Augmented Generation (RAG) pipelines for enhanced information retrieval and generation. * Design and implement efficient vector-based search solutions for semantic ...

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 ...

Build RAG (Retrieval-Augmented Generation) pipelines, human-in-the-loop AI systems, and reusable LLM components. * Develop evaluation frameworks, guardrails, and quality control processes for LLM ...

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 ...

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

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

The platform applies Retrieval-augmented generation (RAG), agentic workflows and grounding, with evaluations incorporating the unsurpassed security intelligence such as Google's visibility into the ...

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

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

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

... retrieval-augmented generation (RAG), and large-scale data extraction. • Extend our core APIs, AI infrastructure, and data pipelines to enable highly requested application features. • Own ...

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 ...

Secure Retrieval-Augmented Generation (RAG) pipelines, vector databases, and embedding workflows * Develop runtime monitoring solutions for AI systems, including prompt logging, context analysis, and ...

Secure Retrieval-Augmented Generation (RAG) pipelines, vector databases, and embedding workflows * Develop runtime monitoring solutions for AI systems, including prompt logging, context analysis, and ...

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 ...

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

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 ...