
AI and full stack Intern – EdTech AI Labs
4 days ago
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
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:
- 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
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