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Retrieval Augmented Generation Rag Jobs in Ashburn, VA

Experience developing AI/ML applications focused on Retrieval-Augmented Generation (RAG), semantic retrieval, LLM integration, or related AI workflows * Strong proficiency in Python and modern AI/ML ...

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.

Data & AI Engineer

Washington, DC · Hybrid

$129K - $155K/yr

The Data & AI Engineer will implement retrieval-augmented generation (RAG) patterns, embedding and indexing pipelines, vector stores, and semantic models alongside core ELT, streaming, and analytical ...

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.

Gen AI/Python Developer

Reston, VA · On-site

$52.25 - $72/hr

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 ...

AI/ML Engineer

Washington, DC · On-site +1

$130K - $170K/yr

Implement Retrieval-Augmented Generation (RAG), semantic search, and knowledge retrieval capabilities where appropriate. * Design AI orchestration workflows supporting distributed inference across ...

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

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Retrieval Augmented Generation Rag information

See Ashburn, VA salary details

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How much do retrieval augmented generation rag jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for retrieval augmented generation rag in Ashburn, VA is $20.71, according to ZipRecruiter salary data. Most workers in this role earn between $17.69 and $21.63 per hour, depending on experience, location, and employer.

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AI/ML Engineer with Security Clearance

GRVTY

Fairfax, VA • On-site

Other

This job post has expired 2 days ago. Applications are no longer accepted.


Job description

What You'll be Owning GRVTY is seeking an experienced AI/ML Engineer with a TS/SCI + Poly clearance (applicable to this customer) to join one of our top projects in McLean, VA. * Implementing and maintaining RAG pipelines, including document processing, embedding generation, retrieval configuration, and prompt assembly * Integrating LLMs into applications using available APIs and frameworks * Developing and maintaining REST API interactions to support data retrieval and system integration * Designing and/or refining Postgres schemas to improve data organization and query performance What You Must Have * Active TS/SCI with Polygraph Clearance * Minimum 8 years of experience with a Bachelor's degree; or 7 years of experience with a Masters degree; or 6 years of experience with a Doctorate * Demonstrated ability to conduct independent technical research, evaluate emerging AI/ML approaches, and apply advanced analytical problem-solving comparable to PhD-level research environments * Ability to rapidly learn and apply new AI/ML methodologies, tools, and frameworks in support of evolving mission requirements * Experience developing AI/ML applications focused on 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 * Willingness to work onsite full time; 40 hours, 5 days a week (Monday - Friday), and covering at a minimum the Sponsor's core office hours of 10AM-2PM What Would be Nice to Have * Advanced research experience in machine learning, deep learning, natural language processing, generative AI, reinforcement learning, computer vision, or related disciplines. * Experience publishing research, contributing to open-source AI/ML initiatives, or leading experimental and prototype development efforts. * Familiarity with model evaluation frameworks, fine-tuning workflows, inference optimization, and AI observability/monitoring tools. * Experience with vector databases, AWS/cloud environments, Docker, and containerized AI/ML development workflows. * Experience designing and integrating REST APIs and scalable data architectures. #LI-BPJ