AI and full stack Intern - EdTech AI Labs

We are a London-based ed-tech startup, founded by experienced entrepreneurs working with leading private schools in the UK. Our mission is simple : help teachers do what they love the most—to teach—by cutting down on admin work using AI, and transform education with engaging, data-driven tools that enable students to practice, progress, and succeed. We are on an ambitious journey to build a high-impact ed-tech company offering personalised learning with a lean team.

Who We’re Looking For :

• People who can dedicate 8–10 hours / day to building real products
• High-agency learners who don’t shy away from challenges
• Willing to work on a 24-hour deployment cycle mindset
• Must have built full stack apps before (DB + backend + frontend). LLM integration experience is a plus
• Understanding of agents / infra is not mandatory—you’ll learn with us
• Looking for those who want compressed experience : building enterprise-grade apps in weeks, not months

What This Opportunity Brings

The Assignment

Working code to create a Retrieval-Augmented Generation (RAG) based on an economics book chapter. You need to create a vector database for the particular book chapter. Vector database is used to generate the new questions and also assess the student answers.

Inputs : a) Chapter pdf

b) Video play list

Working code on the below topics using the above listed inputs :

Create clean searchable knowledge from the content

Metadata : subject, topic, subtopic, difficulty

Index : store clean text in an object store; embed chunks into a vector DB

Knowledge graph of topics

From videos : auto-create lesson pages : overview → time-stamped highlights → key terms → 5 Multiple choice questions and 1 exam style essay question.

Need to create a metadata and vector database

Email subject : AI Intern Application –

Email body : Mention your location preference (Noida / Ahmedabad / Remote)

Build the MVP described above and send it to : parthamin123@gmail.com

Include demo link (MUST)

GitHub repo

README with setup instructions

Process

Location : Noida (onsite)

Type : Internship (with potential PPO)

Duration & Stipend