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Retrieval Augmented Generation Rag Jobs in McLean, VA

Closure Technologies is seeking a AI/ML Engineer who will Implement and maintain Retrieval-Augmented Generation (RAG) pipelines and integrate Large Language Models (LLMs) into applications, supported ...

Job Summary : Closure Technologies is seeking an AI/ML Engineer who will implement and maintain Retrieval-Augmented Generation (RAG) pipelines and integrate Large Language Models (LLMs) into ...

Job Summary : Closure Technologies is seeking an AI/ML Engineer who will implement and maintain Retrieval-Augmented Generation (RAG) pipelines and integrate Large Language Models (LLMs) into ...

Integrate with large language models (LLMs) and generative AI (GenAI) using prompt engineering, fine-tuning, and retrieval-augmented generation (RAG) techniques. * Implement MCP client and server ...

Sr. Data Scientist

Fairfax, VA · On-site

$175K - $205K/yr

In this role, you will design and optimize next-generation search and retrieval experiences using Elasticsearch, Vector Search, and Retrieval-Augmented Generation (RAG) techniques to improve ...

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Retrieval Augmented Generation Rag information

See McLean, VA salary details

$15

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

As of Aug 12, 2026, the average hourly pay for retrieval augmented generation rag in McLean, VA is $20.47, according to ZipRecruiter salary data. Most workers in this role earn between $17.50 and $21.39 per hour, depending on experience, location, and employer.
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Infographic showing various Retrieval Augmented Generation Rag job openings in McLean, VA as of August 2026, with employment types broken down into 71% Full Time, 26% Part Time, and 3% Contract. Highlights an 71% Physical, 3% Hybrid, and 26% Remote job distribution, with an average salary of $42,577 per year, or $20.5 per hour.

Senior Applied AI Engineer - Software Engineering with Security Clearance

Neural Solutions

Columbia, MD • On-site

$204K - $247K/yr

Other

Posted 12 days ago


Job description


Join a fast-moving Tactical AI team developing production-quality AI applications that accelerate mission workflows through large language models (LLMs), retrieval-augmented generation (RAG), and modern software engineering practices. This role involves designing and developing AI-powered applications to help analysts and operators interact with complex mission data using natural language and intelligent automation. Responsibilities: * Design, develop, and maintain production AI-enabled software applications using Python and modern software engineering practices. * Architect and implement LLM-powered workflows, retrieval-augmented generation (RAG) pipelines, and AI agent capabilities that solve mission problems. Required Skills: * Production software development experience using Python. * Experience designing and developing distributed or backend software systems. * Experience building AI-enabled applications using LLMs, retrieval-augmented generation (RAG), AI agents, or similar technologies. * Experience developing REST APIs and integrating multiple data sources. * Experience working with SQL, Elasticsearch, or other data storage technologies. Nice to Have: * Experience with Model Context Protocol (MCP), PydanticAI, LangChain, LlamaIndex, or similar AI frameworks. * Experience deploying applications using Docker, Kubernetes, or containerized environments. Experience Required: 12 years with Bachelor's degree in a technical discipline, or 16 years without degree Location: Columbia, MD Clearance: TS/SCI with Polygraph required Salary Range: $204,000 - $247,000