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 fastGain hands-on experience with infra + code in an AI-first setupBuild alongside top talent in India & UK, and see your ideas go live quicklyThe 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 contentMetadata : subject, topic, subtopic, difficultyIndex : store clean text in an object store; embed chunks into a vector DBKnowledge graph of topicsFrom 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 databaseEmail 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 repoREADME with setup instructionsProcess
Email the assignmentIf shortlisted, you'll get a 1-1 interviewOnboarding in 5 days – we move fastLocation : Noida (onsite)
Type : Internship (with potential PPO)
Duration & Stipend
6 months internshipStipend + PPO (Pre-placement offer) for top performers