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Retrieval Augmented Generation Rag Jobs in Washington, DC

This is a unique opportunity to leverage large language models and Retrieval-Augmented Generation (RAG) while working with frontier AI platforms and secure cloud solutions. Help shape the next era of ...

New

This is a unique opportunity to leverage large language models and Retrieval-Augmented Generation (RAG) while working with frontier AI platforms and secure cloud solutions. Help shape the next era of ...

New

This is a unique opportunity to leverage large language models and Retrieval-Augmented Generation (RAG) while working with frontier AI platforms and secure cloud solutions. Help shape the next era of ...

New

This is a unique opportunity to leverage large language models and Retrieval-Augmented Generation (RAG) while working with frontier AI platforms and secure cloud solutions. Help shape the next era of ...

New

This is a unique opportunity to leverage large language models and Retrieval-Augmented Generation (RAG) while working with frontier AI platforms and secure cloud solutions. Help shape the next era of ...

New

This is a unique opportunity to leverage large language models and Retrieval-Augmented Generation (RAG) while working with frontier AI platforms and secure cloud solutions. Help shape the next era of ...

New

Senior AI/ML Data Engineer

Washington, DC · 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 ...

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 ...

Showing results 21-40

Retrieval Augmented Generation Rag information

See Washington, DC salary details

$17

$22

$30

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

As of Sep 2, 2026, the average hourly pay for retrieval augmented generation rag in Washington, DC is $22.93, according to ZipRecruiter salary data. Most workers in this role earn between $19.62 and $23.94 per hour, depending on experience, location, and employer.

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Infographic showing various Retrieval Augmented Generation Rag job openings in Washington, DC as of August 2026, with employment types broken down into 64% Full Time, 33% Part Time, and 3% Contract. Highlights an 62% Physical, 3% Hybrid, and 35% Remote job distribution, with an average salary of $47,704 per year, or $22.9 per hour.

Software AI Engineer

micro1 AI

Rockville, MD • On-site

Full-time

This job post has expired today. Applications are no longer accepted.


Job description

Job Description

Job Title: Software AI Engineer

Job Type: Full-time

Job Summary:

Join our customer’s team as a Software Engineer, where you will build, optimize, and integrate cutting-edge AI-powered applications. This is a unique opportunity to leverage large language models and Retrieval-Augmented Generation (RAG) while working with frontier AI platforms and secure cloud solutions. Help shape the next era of intelligent software in a collaborative, high-impact environment.

Key Responsibilities:

  • Design, implement, and maintain scalable APIs and backend systems leveraging Python and RESTful services.
  • Develop and integrate advanced LLM and RAG solutions, utilizing frameworks like LangGraph and LangChain for agentic, multi-agent orchestration.
  • Work with leading AI platforms including Anthropic for Gov, OpenAI Enterprise, Gemini Enterprise, and Grok Enterprise.
  • Deploy, monitor, and optimize solutions on secure cloud infrastructures, such as AWS GovCloud, Google GovCloud, Azure IL5+, and Vertex AI.
  • Build robust data pipelines, manage metadata catalogs, and ensure secure data handling using ETL and MCP methodologies.
  • Champion best practices in CI/CD pipelines, SDK integration, and secure coding for scalable codebases.
  • Collaborate cross-functionally, demonstrating exemplary written and verbal communication skills to document and present technical solutions.

Required Skills and Qualifications:

  • Proven experience with large language models (LLMs), Retrieval-Augmented Generation (RAG), and prompt engineering.
  • Strong development skills with Python, focusing on backend API development and SDK integration.
  • Hands-on expertise with AWS, particularly AWS GovCloud and AWS Bedrock services.
  • Experience with agentic AI tools such as LangGraph, LangChain, and multi-agent orchestration systems.
  • Knowledge of cloud platforms including Google GovCloud, Azure IL5+, and Vertex AI.
  • Solid understanding of data ontologies, metadata management, and building ETL pipelines.
  • Exceptional written and verbal communication skills are a must.

Preferred Qualifications:

  • Background in secure coding practices for government or regulated environments.
  • Direct experience working with enterprise AI solutions such as OpenAI Enterprise or Anthropic for Gov.
  • Familiarity with CI/CD automation in complex, hybrid cloud environments.