Entry Level Retrieval Augmented Generation Jobs in Virginia

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 ...

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.

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 ...

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 ...

Utilize Retrieval-Augmented Generation (RAG) for advanced AI functionalities * Work with Milvus, Qdrant, and Pinecone for efficient data storage and retrieval * Integrate LLM (Large Language Model ...

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

Integrating and operating on-device AI/ML components, including local open-weight language models, retrieval-augmented generation, a vector store and embeddings, speech transcription, and multimodal ...

Integrating and operating on-device AI/ML components, including local open-weight language models, retrieval-augmented generation, a vector store and embeddings, speech transcription, and multimodal ...

Integrating and operating on-device AI/ML components, including local open-weight language models, retrieval-augmented generation, a vector store and embeddings, speech transcription, and multimodal ...

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 ...

Integrating and operating on-device AI/ML components, including local open-weight language models, retrieval-augmented generation, a vector store and embeddings, speech transcription, and multimodal ...

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

... for retrieval-augmented generation and LLM-based applications. • Build production-grade AI services, ML inference wrappers, APIs, and asynchronous components using Python, Java, and/or Go. • ...

... for retrieval-augmented generation and LLM-based applications. • Build production-grade AI services, ML inference wrappers, APIs, and asynchronous components using Python, Java, and/or Go. • ...

Build and optimize RAG (Retrieval-Augmented Generation) pipelines Distill and fine-tune AI models to improve reasoning, automation, and decision-making. Deploy AI models into scalable, production ...

Implement Retrieval Augmented Generation (RAG) solutions. * Apply various machine learning models like SVM, Logistic Regression, Random Forest, and Neural Networks. * Work with NLP techniques ...

... retrieval augmented generation (RAG) in AI agent workflows • Familiarity with open source agentic libraries and tools (LangChain, MCP, etc) • Active security clearance and willing to work onsite ...