Entry Level Retrieval Augmented Generation Jobs in Virginia

Hands-on experience managing vector databases (e.g., Pinecone, Weaviate, Milvus) and optimizing RAG (Retrieval-Augmented Generation) pipelines for low latency. * Implementation of AI Governance ...

Implement RAG (Retrieval-Augmented Generation) and agentic AI methodologies in solution design. * Utilize coding assistants (e.g., Claude Code or similar tools) to streamline development and enhance ...

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 ...

Implement retrieval-augmented generation, semantic search, embeddings, vector databases, prompt strategies, and agent-based workflows where appropriate. * Integrate structured and unstructured ...

Preferred Qualifications: • Experience in the finance or fintech industry. • Familiarity with vector databases (e.g., FAISS, Pinecone) and retrieval-augmented generation (RAG). • Exposure to ...

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 ...

Design and operate end-to-end Retrieval Augmented Generation (RAG) workflows, including retrieval pipeline architecture, embedding strategies, and response evaluation * Data Integration: Build and ...

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

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

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 ...

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 ...

Design and build a proof-of-concept AI system using LLM APIs and retrieval-augmented generation (RAG) to surface relevant knowledge from internal support documentation, runbooks, and historical case ...

RAG (Retrieval-Augmented Generation) * Frameworks like LangChain (or equivalent) * Collaboration & Delivery * Work closely with Salesforce teams, QA, and architects * Participate in sprint delivery ...

You will build with large language models, AI-assisted development tools, agent frameworks, and retrieval-augmented generation as everyday engineering primitives You will design and build robust ...

You will build with large language models, AI-assisted development tools, agent frameworks, and retrieval-augmented generation as everyday engineering primitives You will design and build robust ...

You will build with large language models, AI-assisted development tools, agent frameworks, and retrieval-augmented generation as everyday engineering primitives You will design and build robust ...

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 practices ...

Preferred Qualifications: • Experience in the finance or fintech industry. • Familiarity with vector databases (e.g., FAISS, Pinecone) and retrieval-augmented generation (RAG). • Exposure to ...

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 practices ...