Retrieval Augmented Generation Rag Jobs in Virginia

Minimum of 3-5 years experience with Retrieval-Augmented Generation (RAG), LLM prompting techniques, and vector-based search * Minimum of 3-5 years experience supporting Agile application development

Closure Technologies is seeking a AI/ML Engineer who will Implement and maintain Retrieval-Augmented Generation (RAG) pipelines and integrate Large Language Models (LLMs) into applications, supported ...

... Retrieval-Augmented Generation (RAG) applications within Palantir Foundry. In this role, you will help transform large volumes of structured and unstructured data into secure, accurate, and ...

Apply Retrieval-Augmented Generation (RAG) patterns to enhance LLM-driven applications with accurate, relevant, and contextual enterprise data. * Consult with customers to understand business ...

Apply Retrieval-Augmented Generation (RAG) patterns to enhance LLM-driven applications with accurate, relevant, and contextual enterprise data. * Consult with customers to understand business ...

Apply Retrieval-Augmented Generation (RAG) patterns to enhance LLM-driven applications with accurate, relevant, and contextual enterprise data. * Consult with customers to understand business ...

Retrieval-Augmented Generation (RAG) * Ensure performance, scalability, and reliability of AI systems Agent Development & Orchestration * Program and orchestrate multi-agent systems * Build custom ...

Architect and deploy Retrieval-Augmented Generation (RAG) solutions and AI orchestration frameworks * Manage Kubernetes-based AI deployments and ensure seamless integration with OpenAI-compatible ...

In this role, you will design and optimize next-generation search and retrieval experiences using Elasticsearch, Vector Search, and Retrieval-Augmented Generation (RAG) techniques to improve ...

Architect and deploy Retrieval-Augmented Generation (RAG) solutions and AI orchestration frameworks * Manage Kubernetes-based AI deployments and ensure seamless integration with OpenAI-compatible ...

Design and implement Retrieval-Augmented Generation (RAG) architectures leveraging vector databases, embeddings, and enterprise knowledge repositories. * Develop and maintain data ingestion ...

... deploy Retrieval-Augmented Generation (RAG) solutions and AI orchestration frameworks • Manage Kubernetes-based AI deployments and ensure seamless integration with OpenAI-compatible APIs • ...

Design and implement Retrieval-Augmented Generation (RAG) architectures leveraging vector databases, embeddings, and enterprise knowledge repositories. * Develop and maintain data ingestion ...

... Retrieval Augmented Generation (RAG) solutions using vector databases (pgvector, Pinecone, Weaviate).​ • Perform data analysis, preparation, and curation to build high-quality datasets for AI and ...

Develop scalable Retrieval-Augmented Generation (RAG) architectures that improve response quality, accuracy, explainability, and contextual relevance. * Engineer and optimize prompt orchestration ...

Last Used Machine Learning & Generative AI Retrieval-Augmented Generation (RAG) Python (Jupyter, Workflow Automation) Data Structures & Data Modeling AI Agents Development (MCP, A2A, Graph RAG) GenAI ...

Develop scalable Retrieval-Augmented Generation (RAG) architectures that improve response quality, accuracy, explainability, and contextual relevance. * Engineer and optimize prompt orchestration ...

Develop scalable Retrieval-Augmented Generation (RAG) architectures that improve response quality, accuracy, explainability, and contextual relevance. * Engineer and optimize prompt orchestration ...

... on Retrieval-Augmented Generation (RAG) or similar retrieval-based workflows. • Proficiency with Python and common data/AI libraries. • Experience designing and using REST APIs to retrieve ...

Design and implement Large Language Model (LLM) solutions, Retrieval-Augmented Generation (RAG) architectures, vector databases, and AI-enabled knowledge management capabilities. * Develop scalable ...