Retrieval Augmented Generation Rag Jobs in California

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

Implement and optimize Retrieval-Augmented Generation (RAG) pipelines that combine structured and unstructured enterprise data sources. * Partner with AI engineers, platform teams, and product ...

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

Support advanced AI use cases, including LLM-based solutions, retrieval-augmented generation (RAG), and hybrid modeling approaches where appropriate * Collaborate with engineering teams to integrate ...

Retrieval-Augmented Generation (RAG) * Feature engineering and model evaluation techniques * Experience working with cloud platforms such as Azure, AWS, or similar ecosystems * Familiarity with data ...

... models, LLM, Retrieval-Augmented Generation(RAG), Model Context Protocol(MCP), Langchain, Langgraph etc. • Experienced in understanding functional requirement, integrate AI models with ...

Implement prompt engineering strategies, grounding techniques, and Retrieval-Augmented Generation (RAG) pipelines. Architecture & Integration * Define architecture standards for agentic systems ...

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) * 7+ Years Exp - coding experience in Python, with proficiency in ML/NLP libraries * 7+ Years Exp - healthcare data standards like FHIR, HL7, ICD/CPT, X12 EDI ...

... building Retrieval-Augmented Generation (RAG) pipelines • Knowledge of semantic layers and knowledge graphs for structured reasoning • Proficient in Python and FastAPI for backend and API ...

Guided teams on LLM usage patterns, including prompt design, grounding strategies, and Retrieval-Augmented Generation (RAG) * Collaborated with AI architects and MLOps teams to ensure Responsible AI ...

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 ...

Experience with AI frameworks/tools such as LangChain , Spring AI , OpenAI APIs , Azure OpenAI , Vertex AI , Anthropic Claude , or Retrieval-Augmented Generation (RAG) . * Experience with Docker ...

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 ...

We are hiring an AI Engineer specializing in LLMs (Large Language Models), Retrieval Augmented Generation ( RAG ), and Generative AI. The role involves building advanced AI solutions that leverage ...

AI-Powered Knowledge Systems & Retrieval-Augmented Generation (RAG) * Architect and implement RAG platforms and AI-ready knowledge repositories. * Design intelligent retrieval systems using hybrid ...

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 ...

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 ...

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

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