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 ...

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 ...

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 ...

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 ...

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

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

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 ...

Familiarity with vector databases (e.g., FAISS, Pinecone) and retrieval-augmented generation (RAG). * Exposure to data visualization tools (e.g., Power BI, Tableau). * Understanding of MLOps ...

... Retrieval Augmented Generation (RAG) tools on custom datasets Experience with developing, deploying, and maintaining MCP servers Interest in optimizing AI agents and LLMs to drive deployment ...

Experience with Retrieval-Augmented Generation * Knowledge of AI operations and MLOps practices for deploying and maintaining machine learning models. * Familiarity with secure coding principles and ...

Experience with Retrieval-Augmented Generation * Knowledge of AI operations and MLOps practices for deploying and maintaining machine learning models. * Familiarity with secure coding principles and ...

... Retrieval-Augmented Generation (RAG) pipelines. Qualifications : Required : • Demonstrated experience working in Lean Agile Development environment. • Demonstrated experience building or ...

RAG (Retrieval-Augmented Generation) and Frameworks like LangChain (or equivalent) • Work closely with Salesforce teams, QA, and architects • Participate in sprint delivery with embedded AI ...

Key Responsibilities (Entry Level) • Data Preparation: Use SQL to extract raw data and Python or ... Retrieval-Augmented Generation (RAG) frameworks to support dynamic domain requirements. • ...