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Internship Retrieval Augmented Generation Jobs in Virginia

Senior Data Engineer

Vienna, VA · On-site

$106K - $144K/yr

Apply Generative AI, Agentic AI, Retrieval-Augmented Generation (RAG), vector search technologies ... FORTUNE 100 Best Companies to Work For 2026 Yello and WayUp Top 100 Internship Programs 2025 ...

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 ...

Sr. AI/ML Engineer I (6813)

Reston, VA · On-site

$170K - $200K/yr

Apply machine learning techniques to support retrieval augmented generation. * Present results to a diverse audience in presentation or report form. * Support architectural leadership, technical ...

New

Salesforce Developer

Washington, VA · On-site

$58.50 - $77.50/hr

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 ...

Agentic AI Engineer

Reston, VA · On-site

$127K - $168K/yr

Build Generative AI & Retrieval-Augmented Generation LLM Applications * Build LLM-powered applications for text generation, summarization, Q&A, conversational AI, enterprise knowledge search, and ...

Showing results 21-40

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:

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.

Senior AWS Generative AI Solution Engineer

Leidos

Fort Belvoir, VA • On-site

$107K - $195K/yr

Full-time

Medical, Retirement, PTO

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


Leidos rating

8.3

Company rating: 8.3 out of 10

Based on 153 frontline employees who took The Breakroom Quiz

81st of 500 rated business services


Job description

Description

Leidos is seeking an experienced Senior AWS Generative AI Solution Engineer to design and implement the reasoning layer for a GenAI-enabled HUD FHA Resource Center. The selected candidate will lead development of a multi-agent solution using Amazon Bedrock, AgentCore Runtime, Knowledge Bases, Guardrails, OpenSearch Serverless, AWS Lambda, and Retrieval-Augmented Generation to support grounded voice and chat interactions.

Core Responsibilities:

  • Design and implement Amazon Bedrock Agents, including a Supervisor Agent and domain-specific Sub-Agents.

  • Develop Retrieval-Augmented Generation workflows using Amazon Bedrock Knowledge Bases and OpenSearch Serverless.

  • Implement prompt engineering, agent routing, confidence logic, and low-confidence fallback behavior.

  • Configure Bedrock Guardrails for PII redaction, prompt-injection detection, denied topics, content safety, and grounding evaluation.

  • Build Lambda orchestration to connect Lex V2, Bedrock AgentCore, response generation, and human transfer decisions.

  • Support session management, conversation context persistence, and cross-channel consistency for voice and chat.

  • Integrate the GenAI stack with Amazon Connect, Salesforce, CloudWatch, DynamoDB, S3, SNS, IAM, and KMS.

  • Lead AI testing, response quality tuning, grounding validation, and latency optimization across production-like scenarios.

Please Note: This is 100% telework/remote opportunity.  However, candidate must be/reside in the Gaithersburg, MD/Washington, DC metro area.

Required Qualifications:

  • Bachelor’s degree and 8+ years of relevant experience OR Masters degree with 6+ years of relevant experience. Additional years of relevant experience may be considered and/or accepted in lieu of degree.

  • 8+ years of software engineering OR cloud development experience. 

  • At least 3 years of Generative AI OR LLM application development experience.

  • Strong Python development skills and experience building production AWS solutions.

  • Hands-on experience with Amazon Bedrock, RAG patterns, and vector-based retrieval.

  • Experience with APIs, distributed systems, and secure cloud architecture.

  • Ability to work effectively in a regulated government environment.

  • Ability to obtain and maintain a Public Trust security clearance.

  • US Citizen.

Preferred Qualifications:

  • AWS certifications such as AI Practitioner, Machine Learning Specialty, OR Solutions Architect Professional.

  • Experience with Amazon Bedrock Agents, AgentCore Runtime, Guardrails, and Knowledge Bases.

  • Experience with Claude models, agent frameworks, or multi-agent orchestration patterns.

  • Familiarity with FedRAMP environments and government AI governance requirements.

  • Experience with LangChain, Strands Agents, or other agent development frameworks.

Success Measures:

  • Supervisor Agent and Sub-Agents are implemented and tested across HUD service domains.

  • Responses are grounded, accurate, and safely filtered through Guardrails.

  • Confidence scoring and fallback behavior support reliable human escalation.

  • The GenAI platform is production-ready, maintainable, and compliant with security and privacy requirements.

Target Technical Skills:  Highly Desired/Preferred Skills (Nice to Have):

  • Amazon Bedrock, Bedrock Agents, Bedrock Guardrails, Bedrock Knowledge Bases, AgentCore Runtime.

  • Retrieval-Augmented Generation, prompt engineering, multi-agent systems, vector search.

  • AWS Lambda, Amazon Lex V2, Amazon Connect, CloudWatch.

  • Python, REST APIs, JSON, CloudFormation or Terraform, CI/CD.

  • OpenSearch Serverless, DynamoDB, S3, IAM, KMS.

Please Note:  The program budget salary for this role could fall anywhere between $130,000 to low/mid $150,000 with a slight wiggle room (no guarantees) based on relevant experience and assessment.  Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law. 

If you're looking for comfort, keep scrolling. At Leidos, we outthink, outbuild, and outpace the status quo — because the mission demands it. We're not hiring followers. We're recruiting the ones who disrupt, provoke, and refuse to fail. Step 10 is ancient history. We're already at step 30 — and moving faster than anyone else dares.

Original Posting:August 3, 2026

For U.S. Positions: While subject to change based on business needs, Leidos reasonably anticipates that this job requisition will remain open for at least 3 days with an anticipated close date of no earlier than 3 days after the original posting date as listed above.

Pay Range:Pay Range $107,900.00 - $195,050.00

The Leidos pay range for this job level is a general guideline only and not a guarantee of compensation or salary. Additional factors considered in extending an offer include (but are not limited to) responsibilities of the job, education, experience, knowledge, skills, and abilities, as well as internal equity, alignment with market data, applicable bargaining agreement (if any), or other law.

About Leidos

Leidos is an industry and technology leader serving government and commercial customers with smarter, more efficient digital and mission innovations. Headquartered in Reston, Virginia, with 47,000 global employees, Leidos reported annual revenues of approximately $16.7 billion for the fiscal year ended January 3, 2025. For more information, visit www.Leidos.com.

Pay and Benefits

Pay and benefits are fundamental to any career decision. That's why we craft compensation packages that reflect the importance of the work we do for our customers. Employment benefits include competitive compensation, Health and Wellness programs, Income Protection, Paid Leave and Retirement. More details are available at www.leidos.com/careers/pay-benefits.

Securing Your Data

Beware of fake employment opportunities using Leidos’ name. Leidos will never ask you to provide payment-related information during any part of the employment application process (i.e., ask you for money), nor will Leidos ever advance money as part of the hiring process (i.e., send you a check or money order before doing any work). Further, Leidos will only communicate with you through emails that are generated by the Leidos.com automated system – never from free commercial services (e.g., Gmail, Yahoo, Hotmail) or via WhatsApp, Telegram, etc. If you received an email purporting to be from Leidos that asks for payment-related information or any other personal information (e.g., about you or your previous employer), and you are concerned about its legitimacy, please make us aware immediately by emailing us at LeidosCareersFraud@leidos.com.

If you believe you are the victim of a scam, contact your local law enforcement and report the incident to the U.S. Federal Trade Commission.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to sex, race, ethnicity, age, national origin, citizenship, religion, physical or mental disability, medical condition, genetic information, pregnancy, family structure, marital status, ancestry, domestic partner status, sexual orientation, gender identity or expression, veteran or military status, or any other basis prohibited by law. Leidos will also consider for employment qualified applicants with criminal histories consistent with relevant laws.

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About Leidos

Sourced by ZipRecruiter

At Leidos, we deliver innovative solutions through the efforts of our diverse and talented people who are dedicated to our customers' success. We empower our teams, contribute to our communities, and operate sustainable practices. Everything we do is built on a commitment to do the right thing for our customers, our people, and our community.

Industry

It services

Company size

10,000+ Employees

Headquarters location

Reston, VA, US

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