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Internship Retrieval Augmented Generation Jobs in Virginia

System One Holdings, LLC

Salesforce Developer

Washington, VA · On-site

$58.50 - $77.50/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Utilize AI-driven automation tools such as Einstein AI and retrieval-augmented generation (RAG) to enhance development efficiency. * Coordinate with cross-functional teams in an Agile environment ...

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 · 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 ...

Estuate Inc.

Senior Agentic AI Engineer

Reston, VA · On-site

$127K - $168K/yr

This role focuses on building production-grade Generative AI applications, multi-agent workflows, and Retrieval-Augmented Generation (RAG) pipelines for enterprise use on Microsoft Azure. You will ...

New

Amivero

AI Engineer

Reston, VA · On-site

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 ...

Altagrove LLC

Data Science

Norfolk, VA · On-site

Design and implement Large Language Model (LLM) solutions, Retrieval-Augmented Generation (RAG) architectures, vector databases, and AI-enabled knowledge management capabilities. * Develop scalable ...

Booz Allen Hamilton

AI and ML Data Scientist

Mclean, VA · On-site

  • Medical

  • Life

  • Retirement

  • PTO

You'll design and implement AI agents, retrieval-augmented generation pipelines, evaluation frameworks, prompt strategies, data processing workflows, and mission-focused prototypes. You'll help ...

Booz Allen Hamilton, Inc.

AI and ML Data Scientist

Mclean, VA · On-site +1

  • Medical

  • Life

  • Retirement

  • PTO

You'll design and implement AI agents, retrieval-augmented generation pipelines, evaluation frameworks, prompt strategies, data processing workflows, and mission-focused prototypes. You'll help ...

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All JobsRetrieval Augmented Generation JobsInternship Retrieval Augmented Generation JobsInternship Retrieval Augmented Generation Jobs in Virginia

Internship Retrieval Augmented Generation information

What is an internship in Retrieval Augmented Generation (RAG)?

An Internship in Retrieval Augmented Generation (RAG) is a temporary position, typically for students or early-career professionals, focused on developing or researching AI systems that combine information retrieval with generative models. Interns in this field may work on enhancing how AI models find and use external data sources to generate accurate, context-aware responses. This role often involves tasks such as data preprocessing, implementing retrieval algorithms, fine-tuning language models, and evaluating system performance. It offers valuable hands-on experience with cutting-edge AI technologies and frameworks.

What types of projects or tasks can I expect to work on during an internship in Retrieval Augmented Generation (RAG)?

As an intern in Retrieval Augmented Generation, you can expect to work on projects that involve integrating information retrieval systems with generative AI models. Typical tasks may include curating and preprocessing data sets, developing or fine-tuning retrieval algorithms, evaluating the performance of RAG pipelines, and collaborating with engineers and researchers to improve end-to-end system accuracy. You may also assist in conducting experiments, analyzing results, and documenting findings, all within a collaborative team environment that values innovation and knowledge sharing.

What are the key skills and qualifications needed to thrive as an intern working with Retrieval Augmented Generation (RAG), and why are they important?

To thrive as an intern in Retrieval Augmented Generation, you need a foundational understanding of natural language processing, machine learning concepts, and strong programming skills, often supported by coursework or research in computer science or data science. Familiarity with tools like Python, PyTorch or TensorFlow, and experience with libraries such as Hugging Face Transformers and vector databases are typically required. Strong analytical thinking, curiosity, and effective communication make candidates stand out in collaborative, research-intensive environments. These abilities are critical for developing, evaluating, and improving RAG systems that combine information retrieval with generative models.

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

AspectInternship Retrieval Augmented GenerationInternship Data Analyst
Required SkillsKnowledge of AI, NLP, retrieval systems, programmingData analysis, statistical skills, Excel, SQL
Work EnvironmentTech companies, AI startups, research labsBusiness, finance, marketing departments
Employer UsageDevelop AI models, improve retrieval systemsAnalyze data trends, generate reports

Internship Retrieval Augmented Generation focuses on developing AI models that combine retrieval systems with language generation, requiring skills in AI and programming. In contrast, an Internship Data Analyst concentrates on analyzing data sets to inform business decisions, emphasizing statistical and analytical skills. Both roles are common in tech and business sectors but serve different functions within organizations.

What are the most commonly searched types of Retrieval Augmented Generation jobs in Virginia?

The most popular types of Retrieval Augmented Generation jobs in Virginia are:

What are popular job titles related to Internship Retrieval Augmented Generation jobs in Virginia?

For Internship Retrieval Augmented Generation jobs in Virginia, the most frequently searched job titles are:

What job categories do people searching Internship Retrieval Augmented Generation jobs in Virginia look for?

The top searched job categories for Internship Retrieval Augmented Generation jobs in Virginia are:

What cities in Virginia are hiring for Internship Retrieval Augmented Generation jobs?

Cities in Virginia with the most Internship Retrieval Augmented Generation job openings:

Internship Retrieval Augmented Generation jobs near you
Infographic showing various Internship Retrieval Augmented Generation job openings in Virginia as of June 2026, with employment types broken down into 7% Internship, 68% Full Time, 7% Part Time, and 18% Contract. Highlights an 71% Physical, 2% Hybrid, and 27% Remote job distribution.

Generative AI Engineer (Clearance Required)

InterImage

Arlington, VA

$60.75 - $83/hr

Full-time

Re-posted 8 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.

Apply