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Rag Internship Jobs (NOW HIRING)

AI Fund

AI Engineer

Mountain View, CA · On-site

... RAG, finetuning, agentic frameworks, evals, and guardrails) to real-world development. • Learn ... This could come from some combination of formal study, internships, previous work experience, and ...

SAP

SAP iXp Intern - Full-Stack Developer

Palo Alto, CA · On-site

$22.75 - $29.75/hr

This is more than an internship, it's the foundation for a career built on connection, creativity ... Build retrieval-augmented generation (RAG) solutions using embeddings, semantic search, and SAP ...

Drivetrain

Engineering Intern - Gen AI for FP&A Platform

$17.25 - $22.25/hr

... interns passionate about Generative AI to join our team. You will work on real-world projects involving Retrieval-Augmented Generation (RAG), Agentic AI, and Large Language Models (LLMs) to enhance ...

LEITWERK AG

$102.72 - $136.95/hr

Du stellst sicher, dass Modelle wie On-Premise GPTs und RAG-Lösungen stabil, sicher und performant ... Wertschätzende Du‑Kultur Vom Praktikanten bis hin zum Vorstand - bei uns spricht sich jeder mit ...

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Rag Internship information

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How much do rag internship jobs pay per hour?

As of Aug 22, 2026, the average hourly pay for rag internship in the United States is $17.31, according to ZipRecruiter salary data. Most workers in this role earn between $14.42 and $19.23 per hour, depending on experience, location, and employer.

What is a RAG internship?

A Rag Internship typically refers to a student internship position that is part of a university's 'Rag' (Raise and Give) society or committee, which organizes fundraising events and campaigns for charitable causes. Interns in these roles assist with event planning, marketing, volunteer coordination, and general administrative tasks to support fundraising initiatives. This position offers students practical experience in event management, teamwork, and communication, while contributing to charitable work. Rag Internships are usually unpaid and are a great way for students to develop transferable skills.

What can I expect from the typical workflow and team collaboration during a RAG internship?

During a RAG internship, you can expect to work closely with machine learning engineers, data scientists, and software developers to design, implement, and optimize information retrieval systems that power generative AI models. Your daily tasks may include processing large datasets, experimenting with retrieval algorithms, evaluating model outputs, and contributing to documentation or presentations. Interns often participate in regular team meetings, code reviews, and brainstorming sessions to discuss technical challenges and share progress. This collaborative environment helps you develop both technical and communication skills, while gaining hands-on experience with state-of-the-art NLP technologies.

What are the key skills and qualifications needed to thrive as a RAG intern, and why are they important?

To excel as a RAG Internship candidate, you should possess a solid understanding of natural language processing, machine learning fundamentals, and programming skills, typically supported by coursework in computer science or data science. Familiarity with tools such as Python, PyTorch or TensorFlow, and experience working with large language models and retrieval systems are often required. Strong problem-solving abilities, attention to detail, and effective communication set outstanding interns apart. These competencies enable interns to contribute meaningfully to AI research teams, support innovative projects, and adapt to the rapidly evolving field of AI.

What is the difference between Rag Internship vs Data Analyst Internship?

AspectRag InternshipData Analyst Internship
Required CredentialsBasic coursework, some technical skillsRelevant degree, proficiency in data tools
Work EnvironmentEntry-level, project-based, team settingsOffice or remote, analytical tasks
Industry UsageCommon in creative and design fieldsWidely used across finance, marketing, tech

Rag Internships typically focus on introductory tasks in creative or design fields, requiring basic skills and offering hands-on experience. Data Analyst Internships are more specialized, demanding relevant technical skills and data knowledge. Both provide valuable industry exposure but differ in skill requirements and work focus.

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What are the most commonly searched types of Rag jobs?

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Rag Internship jobs near you
Infographic showing various Rag Internship job openings in the United States as of August 2026, with employment types broken down into 10% Internship, 56% Full Time, 32% Part Time, 1% Temporary, and 1% Contract. Highlights an 77% Physical, 2% Hybrid, and 21% Remote job distribution, with an average salary of $35,995 per year, or $17.3 per hour.

AI Engineer

AI Fund

Mountain View, CA • On-site

Full-time

Re-posted 21 days ago

Job description

Job Summary:
AI Fund is an education technology company focused on empowering the global workforce to build an AI-powered future. They are looking for an AI Engineer to work in their Learning Experience Lab, where the role involves developing new AI products and features to enhance educational experiences.
Responsibilities:
• Develop new AI products and features to be incorporated into platform learning experiences and content creation workflows.
• Work with a small team to quickly iterate and ship new products and features.
• Drive rapid engineering efforts to build full-stack applications using GenAI tools, enabling deep exploration of product ideas, user experiences, and technical feasibility
• Apply GenAI building blocks (prompt engineering, RAG, finetuning, agentic frameworks, evals, and guardrails) to real-world development.
• Learn quickly and proactively when it comes to new technologies in the AI space as well as technologies that are new to you.
• Be organized in your work, regularly communicate the status of your projects, and ask for help or feedback proactively.
Qualifications:
Required:
• Technical background in software development, scalable application deployment on cloud services, and the ability to independently develop new software components and integrate them into larger projects.
• The ability to use AI coding tools (e.g., Claude Code, Codex, Gemini CLI) both for the purposes of writing scrappy, disposable code to get from idea to working prototype in hours or days, as well as to refine your prototype into a clean, robust codebase for scalable products.
• Proficiency with GenAI tools and frameworks: prompt engineering, RAG, finetuning, agentic workflows, evals, guardrails. Experience with front-end technologies like JavaScript, HTML, CSS, and modern frameworks like React, Typescript, and Tailwind. Strong back-end skills, particularly with Python. Database skills for relational, noSQL, graph, and vector databases.
• Technical familiarity with machine learning and AI, particularly using LLM APIs and frameworks for things like tool calling, agentic workflows, RAG, finetuning, and using popular frameworks / APIs for these things. While you may not be an expert in all these areas, you should be able to demonstrate deep technical understanding of at least a couple of these things and conceptual understanding of the rest.
• Strong early career experience in software development and AI / LLM projects. This could come from some combination of formal study, internships, previous work experience, and side projects.
• Excellent communicator and team player with strong English language skills if not a native speaker yourself.
Preferred:
• Background or expertise in education and / or development of educational technology.
• Experience in product management, user testing, and rapid iteration.
Company:
AI Fund is a venture studio that co-founds AI companies alongside founders, VCs, and corporate partners. Founded in 2017, the company is headquartered in Palo Alto, USA, with a team of 11-50 employees. The company is currently Early Stage.

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