 
						Ai and full stack intern
4 weeks 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) Git Hub 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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