Backend AI Developer Intern (Growth to Full-Time)

## About the role We're looking for a Backend AI Developer Intern who can build end-to-end, ships fast, and doesn't wait for permission. You'll work directly with the founder on: - Building full-stack prototypes when speed matters — frontend, backend, deployment, the whole thing - Developing and scaling Advanced RAG pipelines for personalized learning - Hosting and integrating Voice AI models for conversational learning experiences - Building smart web scraping and social listening pipelines for content and data automation - Experimenting with the latest AI agents, frameworks, and tooling — this space moves weekly, and so should you - Writing production backend services in Python + FastAPI This is a high-ownership, high-intensity role. You'll ship real features to real users. If you perform, it converts to full-time. ## Tech You Should Know (or Learn Fast) ### Core Stack: - Python, FastAPI - Frontend basics (React/Next.js or similar) — enough to prototype and ship - Deployment (Docker, basic cloud infra) ### AI & LLM Stack: - LLMs, embeddings, vector databases (Pinecone, Weaviate, Qdrant, etc.) - RAG architectures — chunking, retrieval, reranking - AI agent frameworks (LangChain, LangGraph, CrewAI, AutoGen, etc.) - Voice AI (Whisper, Deepgram, ElevenLabs, or similar TTS/STT models) - AI automation and orchestration (n8n, Zapier AI, custom agents) ### Tooling: - Cursor, Claude Code, GitHub Copilot — as daily drivers, not occasional toys - Web scraping (BeautifulSoup, Playwright, Scrapy, or API-based extraction) - Social data pipelines (Twitter/X, LinkedIn, Reddit, etc.) ## You Should Apply If You: - Can build end-to-end — backend, frontend, deploy — when the situation demands it - Have hands-on experience with LLMs, RAG, and AI agents - Are genuinely curious — you try new AI tools and frameworks because you want to, not because you're told to - Enjoy building clean, smooth user experiences — not just "it works" but "it feels good" - Are proactive — you identify problems and fix them before being asked - Thrive in fast-paced, ambiguous environments — you don't need a spec to start building - Have a natural sense of urgency — you understand that startups run on speed ## Let's Be Direct: This role demands long hours, high availability, and real commitment. We're a small team building fast. You'll have more ownership than most full-time roles elsewhere — but that comes with intensity. If you're looking for a 9-to-5 or a "learning experience" with no pressure, this isn't it. If you want to build real things, ship fast, and grow into a founding-level engineer — keep reading. ## Bonus Points: - Shipped a side project involving LLMs, voice AI, or automation - Built scrapers or data pipelines that actually ran in production - Open-source contributions or a strong GitHub profile - Familiarity with edtech or content-heavy products ## What You Get: - Direct mentorship from the founder (hands-on builder, not a manager) - Work on real AI infra powering 100K+ users — not toy demos - Exposure to product, growth, and GTM — not just code - Clear path to full-time role based on performance - Competitive stipend + equity discussion on conversion ## How to Apply: Send a short note on why you're a fit + a link to something you've built. - GitHub. Deployed project. Scraper you wrote. Voice bot you hacked together. Anything real. No resume fluff. Show your work.