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

• Learn how to implement AI in real-world ed-tech scenarios fast

• Gain hands-on experience with infra + code in an AI-first setup

• Build alongside top talent in India & UK, and see your ideas go live quickly

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

https://drive.google.com/file/d/1lp458XgSTjYU6hnfNMbj1rpzXCCp8q81/view

b) Video play list

https://www.youtube.com/watch?v=OPV1BOs1ISI&list=PLILm2q4LQTsFpnZdYRph_BNRfv36zxEV6

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 – <Your Name>

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

• Email the assignment

• If shortlisted, you'll get a 1-1 interview

• Onboarding in 5 days – we move fast

Location: Noida (onsite)

Type: Internship (with potential PPO)

Duration & Stipend

• 6 months internship

• Stipend + PPO (Pre-placement offer) for top performers