Internship Retrieval Augmented Generation Jobs in California

AI/ML technologies (e.g., LLMs, NLP, retrieval-augmented generation) - 6 Yrs of Exp * Jira, Azure DevOps, Confluence, and Smartsheet - 6 Yrs of Exp Must have Certifications: PMP, PMI-ACP, or ...

... Retrieval-Augmented Generation) architecture * - Hands-on experience on designing solutions using agentic frameworks like LangChain, CrewAI, Semantic Kernel and AutoGen. * - Having experience in ...

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 ...

This role focuses on building robust Retrieval-Augmented Generation (RAG) pipelines to ensure AI agents and applications have access to the most relevant, timely, and high-quality information. You'll ...

They are seeking a Senior AI Engineer to lead the development of Retrieval-Augmented Generation systems that leverage large language models and real-world knowledge sources for industrial ...

They are seeking a Senior AI Engineer to lead the development of Retrieval-Augmented Generation systems that leverage large language models to assist technicians in troubleshooting complex industrial ...

This role focuses on building robust Retrieval-Augmented Generation (RAG) pipelines to ensure AI agents and applications have access to the most relevant, timely, and high-quality information. You'll ...

This role focuses on building robust Retrieval-Augmented Generation (RAG) pipelines to ensure AI agents and applications have access to the most relevant, timely, and high-quality information. You'll ...

We are now hiring a Senior 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 ...

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

We are now hiring a Senior 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 ...

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 ...

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 ...

They are seeking a Senior AI Engineer to lead the development of Retrieval-Augmented Generation systems that utilize large language models and real-world knowledge sources. The role involves ...

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

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 ...

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 ...

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 ...

Create scalable RAG (Retrieval-Augmented Generation) pipelines * Design systems for managing context, grounding, and memory * Optimize retrieval using embeddings, vector search, and ranking ...