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Retrieval Augmented Generation Rag Jobs in Ashburn, VA

Amivero

AI Engineer

Reston, VA

$75K - $190K/yr

Develop scalable Retrieval-Augmented Generation (RAG) architectures that improve response quality, accuracy, explainability, and contextual relevance. * Engineer and optimize prompt orchestration ...

Amivero

AI Engineer

Reston, VA

Develop scalable Retrieval-Augmented Generation (RAG) architectures that improve response quality, accuracy, explainability, and contextual relevance. * Engineer and optimize prompt orchestration ...

Amivero

AI Engineer

Reston, VA · On-site

$75K - $190K/yr

Develop scalable Retrieval-Augmented Generation (RAG) architectures that improve response quality, accuracy, explainability, and contextual relevance. * Engineer and optimize prompt orchestration ...

Global Alliant Inc

AI Engineer

Rockville, MD · On-site +1

Large Language Models (LLMs), Prompt Engineering, and Retrieval-Augmented Generation (RAG) * Databricks, Snowflake, Spark/PySpark * Healthcare analytics, fraud/waste/abuse detection, risk adjustment ...

Global Alliant Inc

AI Engineer

Rockville, MD · On-site

$140K/yr

Large Language Models (LLMs), Prompt Engineering, and Retrieval-Augmented Generation (RAG) * Databricks, Snowflake, Spark/PySpark * Healthcare analytics, fraud/waste/abuse detection, risk adjustment ...

Global Alliant Inc

AI Engineer

Rockville, MD · Remote

$140K/yr

Large Language Models (LLMs), Prompt Engineering, and Retrieval-Augmented Generation (RAG) * Databricks, Snowflake, Spark/PySpark * Healthcare analytics, fraud/waste/abuse detection, risk adjustment ...

INSPYR Solutions

AI Quality Engineer

Merrifield, VA · On-site

$71K - $92K/yr

It is a specialized engineering position focused on validating AI systems, Retrieval-Augmented Generation (RAG) architectures, agent workflows, orchestration frameworks, observability platforms ...

Global Alliant Inc

AI Engineer

Rockville, MD · On-site

$140 - $200/hr

Large Language Models (LLMs), Prompt Engineering, and Retrieval-Augmented Generation (RAG) * Databricks, Snowflake, Spark/PySpark * Healthcare analytics, fraud/waste/abuse detection, risk adjustment ...

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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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Generative AI Engineer (Clearance Required)

InterImage

Arlington, VA

$60.75 - $83/hr

Full-time

Re-posted 15 days ago

Job description

InterImage is looking for engineers who thrive where innovation meets execution. Our Product Division rapidly transforms emerging technologies into operational capabilities supporting mission-critical customers. This isn't a research-only position. You'll take Generative AI concepts from proof of concept to production, designing, developing, deploying, and continuously improving AI-powered applications that solve real-world operational problems. If you enjoy building with the latest LLMs, experimenting with emerging AI technologies, and deploying secure cloud-native solutions in Azure, we'd like to meet you.

What You'll Do

  • Design and build Generative AI applications using commercial and open-source Large Language Models (LLMs).
  • Develop proof-of-concepts that evolve into production-ready software.
  • Architect Retrieval-Augmented Generation (RAG) solutions using vector databases and enterprise data sources.
  • Build intelligent agents and AI workflows capable of reasoning, automation, and decision support.
  • Develop REST APIs and backend services supporting AI applications.
  • Deploy scalable AI solutions within Microsoft Azure environments.
  • Design cloud-native architectures using Azure AI Services, Azure OpenAI, Azure Kubernetes Service (AKS), Azure Functions, and Azure Storage.
  • Build CI/CD pipelines supporting rapid AI deployment and model iteration.
  • Integrate AI capabilities into existing enterprise applications and mission systems.
  • Evaluate emerging AI technologies and rapidly prototype new capabilities.
  • Collaborate with software engineers, cloud architects, data scientists, and mission stakeholders to deliver innovative solutions.
  • Optimize model performance, latency, scalability, security, and cost.
  • Implement responsible AI practices, prompt engineering strategies, guardrails, and model evaluation techniques.

Requirements

  • Active Top Secret Clearance
  • 5+ years of software development experience.
  • 2+ years developing Generative AI or Machine Learning applications.
  • Strong Python development experience.
  • Experience working with Large Language Models including GPT, Llama, Claude, Mistral, or similar models.
  • Experience with prompt engineering and AI workflow development.
  • Experience building APIs using FastAPI, Flask, or similar frameworks.
  • Experience deploying cloud-native applications in Microsoft Azure.
  • Familiarity with containerization technologies including Docker and Kubernetes.
  • Experience with Git, CI/CD pipelines, and DevSecOps practices.
  • Strong understanding of software architecture and distributed systems.
Preferred Qualifications
  • Experience with Azure OpenAI Service.
  • Experience building Retrieval-Augmented Generation (RAG) systems.
  • Knowledge of LangChain, LangGraph, Semantic Kernel, LlamaIndex, or similar orchestration frameworks.
  • Experience with vector databases such as Pinecone, Milvus, pgvector, Azure AI Search, or Chroma.
  • Experience developing AI agents and autonomous workflows.
  • Familiarity with MCP (Model Context Protocol) and agent interoperability concepts.
  • Experience with model evaluation, observability, and prompt optimization.
  • Experience deploying AI solutions in secure or classified environments.
  • Familiarity with Infrastructure as Code using Terraform or Bicep.
  • Knowledge of Azure Machine Learning, Azure AI Foundry, or Azure Cognitive Services.

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