Retrieval Augmented Generation Rag Jobs in Virginia

... 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 ...

... Retrieval-Augmented Generation (RAG) pipelines. Qualifications : Required : • Position Requires a Top Secret (TS/SCI) Clearance with a Polygraph. • Candidate must have hands-on experience with ...

Identify, clean, label, and synthesize high-quality datasets for model training, fine-tuning, or retrieval-augmented generation (RAG). * Design experiments to evaluate generative model behavior (e.g ...

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

Identify opportunities for advanced AI capabilities, automation, Retrieval-Augmented Generation (RAG), and agentic AI solutions and coordinate with technical teams as needed. Requirements * U.S.

Build Retrieval-Augmented Generation (RAG) solutions using vector databases. Design cloud-native AI solutions using Amazon Bedrock / Amazon SageMaker Develop autonomous AI agents using: LangChain ...

Recommend best practices for model selection, prompting strategies, Retrieval-Augmented Generation (RAG) architectures, and AI solution design. Customer Validation & Advisory * Understand customer ...

Identify opportunities for advanced AI capabilities, automation, Retrieval-Augmented Generation (RAG), and agentic AI solutions and coordinate with technical teams as needed. Requirements * U.S.

Familiarity with vector databases (e.g., FAISS, Pinecone) and retrieval-augmented generation (RAG). Exposure to data visualization tools (e.g., Power BI, Tableau). Bachelor s degree in Computer ...

... Retrieval-Augmented Generation (RAG), semantic retrieval, LLM integration, or related AI workflows • Strong proficiency in Python and modern AI/ML libraries, frameworks, and API integrations • ...

The researcher will work with a multi-terabyte curated literature database, develop and evaluate NLP models, build retrieval-augmented generation (RAG) pipelines, and contribute to a federated ...

Familiarity with vector databases (e.g., FAISS, Pinecone) and retrieval-augmented generation (RAG). Exposure to data visualization tools (e.g., Power BI, Tableau). Bachelor s degree in Computer ...

Build Retrieval-Augmented Generation (RAG) solutions using vector databases. * Design cloud-native AI solutions using Amazon Bedrock / Amazon SageMaker * Develop autonomous AI agents using: LangChain ...

... Retrieval-Augmented Generation (RAG) pipelines. REQUIRED SKILLS AND DEMONSTRATED EXPERIENCE: • Working in Lean Agile Development environment. • Building or integrating LLM-based solutions ...

Experience building Retrieval-Augmented Generation (RAG) pipelines and working with vector databases (pgvector, Qdrant, Weaviate). * Experience with LLM gateway tools such as LiteLLM.

Identify, clean, label, and synthesize high-quality datasets for model training, fine-tuning, or retrieval-augmented generation (RAG). * Design experiments to evaluate generative model behavior (e.g ...

Identify, clean, label, and synthesize high-quality datasets for model training, fine-tuning, or retrieval-augmented generation (RAG). * Design experiments to evaluate generative model behavior (e.g ...

Design and optimize Retrieval-Augmented Generation (RAG) pipelines for performance and scalability * Implement AI governance frameworks, including security guardrails and cost optimization strategies

Identify, clean, label, and synthesize high-quality datasets for model training, fine-tuning, or retrieval-augmented generation (RAG). * Design experiments to evaluate generative model behavior (e.g ...

Identify , clean, label, and synthesize high-quality datasets for model training, fine-tuning, or retrieval-augmented generation (RAG) . * Design experiments to evaluate generative model behavior (e ...