Overnight Retrieval Augmented Generation Jobs (NOW HIRING)

Experience architecting and implementing Retrieval-Augmented Generation (RAG) pipelines to enhance model performance using external knowledge sources, including document chunking, embedding ...

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 ...

Summary: • Develop AI-enabled analytics tools and applications using Python, SQL, and Elasticsearch. • Combine data science, machine learning, LLMs, and retrieval-augmented generation (RAG) to ...

Summary: • Develop AI-enabled analytics tools and applications using Python, SQL, and Elasticsearch. • Combine data science, machine learning, LLMs, and retrieval-augmented generation (RAG) to ...

Build intelligent solutions such as chatbots, document search, semantic search, Retrieval-Augmented Generation (RAG), and workflow automation. * Collaborate with business analysts, architects ...

This role involves applying large language models, retrieval-augmented generation, multi-agent orchestration, and foundation model capabilities to automate and enhance privacy operations. Requirement ...

Develop and optimize Retrieval-Augmented Generation workflows by implementing semantic search with vector databases and designing customized reranking approaches to improve context relevance and ...

THE ROLE Join our agile team to shape and deliver the industry's premier enterprise Retrieval-Augmented Generation (RAG) platform from the ground up. You will own end-to-end full-stack feature ...

Agentic AI * RAG (Retrieval-Augmented Generation) Architecture * AI Agents / Multi-Agent Systems * Python * FastAPI * Vector Databases * LLM Integration * AI Platform Engineering * Production AI ...

Strong technical expertise in large language models (LLMs), Retrieval-Augmented Generation (RAG), NLP, and distributed systems. Demonstrated ability to define long-term technical strategy while ...

The ideal candidate will combine strong software engineering skills with deep expertise in Generative AI, Agentic AI, Retrieval-Augmented Generation (RAG), and AWS cloud services to build scalable ...

Architect, build, and maintain enterprise-scale data platforms supporting vector databases, semantic search, Retrieval-Augmented Generation (RAG), Agentic AI systems, and large language model ...

... retrieval-augmented generation pipelines for context-aware AI applications • MCP (Model Context Protocol) - Practical experience with MCP client/server patterns for structured tool-to-data ...

Job Summary : Closure Technologies is seeking an AI/ML Engineer who will implement and maintain Retrieval-Augmented Generation (RAG) pipelines and integrate Large Language Models (LLMs) into ...

The Senior AI/ML Data Engineer will serve as a technical leader responsible for architecting the data ecosystem that powers vector search, Retrieval-Augmented Generation (RAG), large language model ...

The ideal candidate will have a strong background in investment banking, hands-on experience with Microsoft Azure OpenAI, and expertise in Retrieval-Augmented Generation (RAG). Key Responsibilities:

Retrieval-Augmented Generation (RAG) architectures * Vector database experience * Semiconductor or manufacturing domain knowledge

Design, development and optimization of complete Retrieval-Augmented Generation pipelines * Implementation of document ingestion and data-processing workflows * Development of suitable document ...

Design, develop, and implement enterprise AI applications utilizing Large Language Models (LLMs) and Retrieval-Augmented Generation (RAG). * Develop AI-assisted search, summarization, and question ...

Contract Key Responsibilities An Azure AI Foundry AI Engineer designs, builds, and deploys intelligent generative AI, agentic workflows, and RAG (Retrieval-Augmented Generation) applications. This ...