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Internship Retrieval Augmented Generation Jobs (NOW HIRING)

SWBC

AI Intern

San Antonio, TX

$13.50 - $18/hr

This internship will focus on building AI-powered applications and product features, contributing ... Retrieval-Augmented Generation (RAG), Prompt engineering, prompt evaluation, guardrails

SWBC

AI Intern

San Antonio, TX · On-site

$13.50 - $18/hr

This internship will focus on building AI-powered applications and product features, contributing ... Retrieval-Augmented Generation (RAG), Prompt engineering, prompt evaluation, guardrails

Tekshapers Inc

Generative AI/ML Engineer

New York, NY · On-site

The ideal candidate will have a strong background in investment banking, hands-on experience with Microsoft Azure OpenAI, and expertise in Retrieval-Augmented Generation (RAG). Key Responsibilities:

Advantest

AI Intern

San Jose, CA · On-site

$17.75 - $23.50/hr

You will explore how retrieval-augmented generation (RAG) and agentic workflows can be used to analyze, compare, and assess complex technical content at scale. The internship emphasizes building AI ...

Pereview Software

AI Engineer

Dallas, TX

Develop and maintain Retrieval-Augmented Generation (RAG) architectures using vector databases and semantic search technologies * Create, test, and refine prompts, structured outputs, and evaluation ...

Pereview Software

AI Engineer

Dallas, TX

Develop and maintain Retrieval-Augmented Generation (RAG) architectures using vector databases and semantic search technologies * Create, test, and refine prompts, structured outputs, and evaluation ...

CYNET SYSTEMS

Java Fullstack Developer

Pittsburgh, PA · On-site

$45 - $50/hr

Knowledge of LLMs, AI agents, and Retrieval-Augmented Generation (RAG) frameworks. Responsibilities: * Design, develop, and maintain scalable microservices using Core Java and Spring Boot. * Build ...

Scalence L.L.C.

Python AI Dev

Jersey City, NJ · On-site

$55 - $75.75/hr

... Retrieval-Augmented Generation) implementations • LangChain, LlamaIndex, OpenAI, Azure OpenAI, Anthropic, or similar frameworks • API development using FastAPI, Flask, or Django • Strong SQL ...

Pereview Software

AI Engineer

Dallas, TX · On-site

Develop and maintain Retrieval-Augmented Generation (RAG) architectures using vector databases and semantic search technologies * Create, test, and refine prompts, structured outputs, and evaluation ...

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Internship Retrieval Augmented Generation information

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 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 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.

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Internship Retrieval Augmented Generation jobs near you
Infographic showing various Internship Retrieval Augmented Generation job openings in the United States as of June 2026, with employment types broken down into 25% Internship, 50% Full Time, and 25% Part Time. Highlights an 100% In-person job distribution.
Software Engineer [$212k/yr+] TS/SCI-FS Poly with Security Clearance

Software Engineer [$212k/yr+] TS/SCI-FS Poly with Security Clearance

SYSTOLIC

Annapolis Junction, MD • On-site

$212K/yr

Other

Posted 7 days ago

Job description

Candidates must already possess an active Top Secret/SCI w/ Full Scope Polygraph to be considered. Summary: • Develop and advance cutting-edge agentic platforms. • Build sophisticated agentic integrations utilizing Python and AI models.

• Leverage technologies such as LangGraph, Apache Kafka, and Elasticsearch for real-time data processing and analytics. • Manage cloud deployments and CI/CD pipelines within AWS, Kubernetes, and Gitlab. • Desired experience includes Retrieval Augmented Generation (RAG), cyber capabilities, and signals intelligence systems.

Qualifications & Compensation: Degree: Technical bachelor's degree or equivalent experience Years of experience: 3+ years Salary: $212k+ yearly compensation Job Description: • Develop, enhance, and maintain agentic platforms and systems, incorporating Agentic AI principles. • Design and implement robust agentic integrations using Python and advanced AI/Machine Learning models. • Utilize LangGraph for agent orchestration and workflow management.

• Engineer solutions for real-time data streaming and analytics with Apache Kafka and Elasticsearch. • Deploy and manage applications within AWS Cloud environments using Kubernetes. • Automate software delivery processes through Gitlab CI/CD pipelines.

• Apply expertise in Retrieval Augmented Generation (RAG) for information retrieval and enhancement. • Contribute to cyber warfare and cyber defense capabilities (CNO). • Support and enhance signals intelligence (SIGINT) collection and analysis systems.

• Participate in all phases of the software development life cycle. • Engage in the integration and optimization of machine learning and artificial intelligence models. About SYSTOLIC: SYSTOLIC is dedicated to giving our employees the best possible company experience so that they can focus on providing outstanding support to their customer’s mission.

Our company is founded on integrity, enthusiasm, and a relentless commitment to supporting the Intelligence Community. You can learn more about us and submit an application to be considered against our current and future openings at https://systolic.com. To learn about our compensation ranges, visit our Pay Transparency page at: https://systolic.com/pay-transparency

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