Retrieval Augmented Generation Jobs in California

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) * 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 ...

We are now hiring a Sr. AI Engineer - LLM, RAG to lead the development of Retrieval-Augmented Generation (RAG) systems that harness the power of large language models (LLMs) and real-world knowledge ...

We are now hiring a Sr. AI Engineer - LLM, RAG to lead the development of Retrieval-Augmented Generation (RAG) systems that harness the power of large language models (LLMs) and real-world knowledge ...

Build Retrieval-Augmented Generation solutions using services such as BigQuery, Vertex AI Vector Search, Cloud Storage, and Document AI. * Develop APIs, microservices, agent tools, MCP integrations ...

Develop tools for training and fine-tuning large language models, advanced Retrieval-Augmented Generation (RAG) pipelines, vector databases and agentic frameworks. * Build efficient data pipelines to ...

Develop tools for training and fine-tuning large language models, advanced Retrieval-Augmented Generation (RAG) pipelines, vector databases and agentic frameworks. * Build efficient data pipelines to ...

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 ...

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 ...

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

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

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 ...

Implement retrieval-augmented generation, vector search, structured data access, and document processing where appropriate.* Partner with data and platform teams to ensure quality, lineage ...

RAG (Retrieval-Augmented Generation) Pipelines * Document Extraction, Parsing & Chunking * Structured & Unstructured Data Processing * Embeddings & Vector Search * Vector Databases & MongoDB

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 ...

You will guide clients toward the best approaches--such as Retrieval-Augmented Generation (RAG), agents, or fine-tuning--for optimized and cost-effective impact. Beyond prompt creation, you will be ...

... and retrieval-augmented generation. * Engineering integrations between data platforms, governance, risk, and compliance workflows, and enterprise systems using application programming interfaces ...

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 continuously improve the retrieval-augmented generation pipeline -- document ingestion from Slack, GitHub, Jira, and Confluence; chunking and embedding strategies; hybrid vector + keyword ...