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Assistant Retrieval Augmented Generation Jobs in Washington, DC

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 ...

Senior AI/ML Data Engineer

Washington, DC ยท On-site

$119K - $162K/yr

The Senior AI/ML Data Engineer will serve as a technical leader responsible for architecting the data ecosystem that powers vector search, Retrieval-Augmented Generation (RAG), large language model ...

New

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 ...

AI ML Engineer/Developer

VA ยท On-site

$325K/yr

Architect, build, and maintain enterprise-scale data platforms supporting vector databases, semantic search, Retrieval-Augmented Generation (RAG), Agentic AI systems, and large language model ...

Build retrieval-augmented generation (RAG) pipelines to enhance Amazon Connect agent assist and self-service knowledge. * Apply structured logging, unit/integration tests, error handling, and ...

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Assistant Retrieval Augmented Generation information

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

As of Sep 1, 2026, the average hourly pay for assistant retrieval augmented generation in Washington, DC is $26.24, according to ZipRecruiter salary data. Most workers in this role earn between $18.80 and $29.42 per hour, depending on experience, location, and employer.

What is the difference between Assistant Retrieval Augmented Generation vs Data Analyst?

AspectAssistant Retrieval Augmented GenerationData Analyst
Required CredentialsKnowledge of AI, NLP, and retrieval systemsBachelor's in Statistics, Data Science, or related fields
Work EnvironmentTech companies, AI development teamsBusiness, finance, healthcare sectors
Industry UsageAI, machine learning, natural language processingData analysis, reporting, decision support

Assistant Retrieval Augmented Generation focuses on developing AI models that combine retrieval techniques with language generation, often requiring expertise in AI and NLP. Data Analysts interpret data to generate insights, primarily using statistical tools. While both roles involve working with data, Assistant Retrieval Augmented Generation is centered on AI model development, whereas Data Analysts focus on data interpretation and reporting.

What are the most commonly searched types of Retrieval Augmented Generation jobs in Washington, DC?

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For Assistant Retrieval Augmented Generation jobs in Washington, DC, the most frequently searched job titles are:

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Infographic showing various Assistant Retrieval Augmented Generation job openings in Washington, DC as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 19% Part Time, 1% Temporary, and 3% Contract. Highlights an 97% Physical, 1% Hybrid, and 2% Remote job distribution, with an average salary of $54,581 per year, or $26.2 per hour.

Senior Applied AI Engineer - Software Engineering with Security Clearance

Neural Solutions

Columbia, MD โ€ข On-site

$204K - $247K/yr

Other

Re-posted yesterday


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. You will work directly with mission customers to understand operational challenges, rapidly prototype solutions, and transition successful capabilities into production. 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.
* Strong understanding of software architecture, object-oriented design, and software engineering best practices.
* Strong analytical and problem-solving skills.
* Ability to communicate technical concepts to both technical and non-technical stakeholders. 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 with React, TypeScript, Gradio, or modern web application development.
* Experience designing agentic AI workflows or multi-step reasoning systems.
* Experience supporting classified mission environments.
* Experience leading software engineering teams or technical projects. 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