Retrieval Augmented Generation Rag Jobs in California

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

Implement conversation memory, tool calling, function execution, and retrieval-augmented generation (RAG) workflows. * Collaborate with product managers, AI engineers, and software developers to ...

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 ...

Design and execute validation strategies for AI/ML and Retrieval-Augmented Generation (RAG) features, including model quality, grounding, and safety evaluation. Major Responsibilities or Assigned ...

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) pipelines to power intelligent search and Q&A experiences, integrating vector search with LLM-based generation. • Design and deploy Claude-based agents and ...

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

Build Retrieval-Augmented Generation (RAG) solutions using enterprise data. * Develop prompt engineering strategies and context management pipelines. * Fine-tune and optimize LLM-powered applications ...

Build Retrieval-Augmented Generation (RAG) solutions using enterprise data. Develop prompt engineering strategies and context management pipelines. Fine-tune and optimize LLM-powered applications for ...

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

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 ...

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 ...

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 ...

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 ...

You will lead end-to-end engineering and research efforts spanning large-scale Retrieval-Augmented Generation (RAG), world knowledge understanding, conversational reasoning, knowledge generation and ...

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 ...

You will lead end-to-end engineering and research efforts spanning large-scale Retrieval-Augmented Generation (RAG), world knowledge understanding, conversational reasoning, knowledge generation and ...

Contribute to architecture, retrieval-augmented generation (RAG) design, prompt engineering, and CI/CD practices that support rapid, reliable delivery of AI features. Succeed in this role by shipping ...

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 ...