Retrieval Augmented Generation Rag Jobs (NOW HIRING)

We are seeking an experienced Engagement Architect with expertise in Agentic AI, Retrieval-Augmented Generation (RAG), and Enterprise AI Architecture . The ideal candidate will lead the architecture ...

We are seeking an experienced Engagement Architect with expertise in Agentic AI, Retrieval-Augmented Generation (RAG), and Enterprise AI Architecture . The ideal candidate will lead the architecture ...

Onsite -- Pleasanton, CA Gen AI Lead - RAG (Retrieval-Augmented Generation) Specialist We are looking for a highly skilled Gen AI Lead specializing in Retrieval-Augmented Generation (RAG) to join our ...

The ideal candidate will have extensive experience designing and implementing Retrieval-Augmented Generation (RAG) solutions, integrating Large Language Models (LLMs), and developing scalable AI ...

Architect and implement LLM-powered workflows, retrieval-augmented generation (RAG) pipelines, and AI agent capabilities that solve mission problems. Required Skills: * Production software ...

Focuses on implementing retrieval-augmented generation (RAG) pipelines, integrating LLMs with structured/unstructured data sources, and fine-tuning models for specific use cases. Key Skills:

Join a fast-moving Tactical AI team developing production-quality AI applications that accelerate mission workflows through large language models (LLMs), retrieval-augmented generation (RAG), and ...

Hands-on experience building Retrieval-Augmented Generation (RAG) systems * Experience with Spring AI, LangChain4j, or similar Java AI frameworks * Experience integrating OpenAI, Azure OpenAI, Claude ...

Retrieval-Augmented Generation (RAG) * Application Logic * Hybrid AI Patterns * Mentor engineers, conduct code reviews, and establish engineering best practices. * Parallelize delivery across ...

Do you thrive on solving complex challenges with Retrieval-Augmented Generation (RAG), agentic AI systems, and cloud-native machine learning technologies? About our Team LexisNexis Legal ...

Do you thrive on solving complex challenges with Retrieval-Augmented Generation (RAG), agentic AI systems, and cloud-native machine learning technologies? About our Team LexisNexis Legal ...

Do you thrive on solving complex challenges with Retrieval-Augmented Generation (RAG), agentic AI systems, and cloud-native machine learning technologies? About our Team LexisNexis Legal ...

Do you thrive on solving complex challenges with Retrieval-Augmented Generation (RAG), agentic AI systems, and cloud-native machine learning technologies? About our Team LexisNexis Legal ...

Hands-on experience building Retrieval-Augmented Generation (RAG) applications * Experience integrating LLMs such as GPT, Claude, Llama, Gemini, or Mistral * Experience with LangChain, LangGraph ...

Develop Retrieval-Augmented Generation (RAG) solutions and AI workflows. Work with Large Language Models (LLMs) such as OpenAI, Azure OpenAI, or similar platforms. Collaborate with product managers ...

... Retrieval-Augmented Generation (RAG), and Agentic AI models. Key Responsibilities • Design and architect scalable, maintainable AI solutions that integrate Lang chain, LangGraph, and RAG ...

Fine-tune foundation models and implement Retrieval-Augmented Generation (RAG) architectures. * Develop REST APIs and microservices using FastAPI, Flask, or similar frameworks to expose AI models.

Hands-on experience building Retrieval-Augmented Generation (RAG) systems * Experience with Spring AI, LangChain4j, or similar Java AI frameworks * Experience integrating OpenAI, Azure OpenAI, Claude ...

Design and implement Retrieval-Augmented Generation (RAG) (RAG) pipelines. * Configure and manage open-source vector databases such as Qdrant, Chroma, Milvus, or pgvector. * Generate and manage ...

Architect and implement LLM-powered workflows, retrieval-augmented generation (RAG) pipelines, and AI agent capabilities that solve mission problems. * Develop backend services, APIs, and data ...