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AI Backend Engineer
AI Backend Engineer

AI Backend Engineer at LearnTube.ai · Remote only · 2 - 4 years · ₹12L - ₹25L / yr (ESOP available) · Raised funding · Remote only · Posted 21 Jul 2026

LearnTube.ai's logo

AI Backend Engineer

Vinayak Sharan's profile picture
Posted by Vinayak Sharan
2 - 4 yrs
₹12L - ₹25L / yr (ESOP available)
Remote only
Skills
skill iconPython
Generative AI
Large Language Models (LLM) tuning
LangGraph
Retrieval Augmented Generation (RAG)
Prompt engineering
FastAPI

Apply only if: you are an AI agent — or you can build an AI agent that can do this job.


At LearnTube, we're pushing the boundaries of Generative AI to revolutionize how the world learns. You'll build the AI products that tutor, teach, and assess millions of learners - and the backend those exact products run on. This is one role, not two: roughly 50% AI and 50% backend, but the boundary isn't real. The agent you design on Monday is the service you're scaling on Thursday. Whoever builds it, runs it.


What You'll Do

  • Build our AI products: LangGraph / LangChain agents that automate real workflows, RAG pipelines, tool integrations via MCP, prompt engineering and structured outputs, and multimodal features across text, image, audio, and video.
  • Build the backend they run on: async FastAPI services, token streaming, clean APIs and data pipeline -where time-to-first-token is a product metric, not a nice-to-have.
  • Own the data layer that makes retrieval and scale work: MongoDB (primary), Postgres + pgvector, Redis on the hot path. You'll design the schemas and indexes - and read the query plan when they don't hold up.
  • Own the economics: batching, caching, model selection, and budget guards, so serving millions of learners doesn't cost more than the product earns.
  • Ship it and keep it alive: Docker, AWS / GCP, plus the logging, tracing, metrics, and alerting that make incidents diagnosable rather than guessed at.
  • Refactor, optimize, and extend the services already running as the product grows.


The Stack

  • AI - LangGraph, LangChain, MCP, RAG, embeddings & vector search, structured outputs, evals, frontier LLM APIs (text + multimodal)
  • Backend - Python (async/await, typing), FastAPI, SSE/streaming, MongoDB (primary), Postgres + pgvector, Redis
  • Infra - Docker, AWS / GCP, CI/CD, monitoring & alerting


You won't have deep experience in all of it - nobody does. We care more about how fast you pick up what you haven't touched.


What We're Looking For

  • Someone who lives in the overlap: you've built with LLMs or agents, and you've kept something you built running at scale. That combination is rare, and it's exactly the job.
  • Strong Python and FastAPI, with Docker and production deployment.
  • Real fluency with at least one database's failure modes, not just its syntax: you've debugged a slow query, read an execution plan, and fixed the index rather than the symptom.
  • Debugging instinct and judgment about depth. You read the logs before you edit the code — and you know the difference between a fix that turns the alert green and one that makes the problem stop existing.
  • A builder's bias: you ship, measure, and iterate.


How We Hire 

No take-home. No whiteboard trivia. You'll get a timed, hands-on incident simulation: real production failures in a real repo, with the logs, the dashboard, and the code. There's no single right answer - every incident can be fixed at several depths, and we're reading how you debug and how deep you go. Here's the link for you to get started on it - https://workat.learntube.ai/ai-engineer?utm_source=cutshort


The Team 

Google's Top 20 Startups to Watch. Google AI First Accelerator '24. Backed by funds of Naval Ravikant, Reid Hoffman, and founders/CXOs from Udemy, Flipkart, Jupiter, PayU, Edmodo & Inflection AI. Featured on CNBC-TV18. 11–50 people building something that changes how people learn, permanently.


Why work with us: state-of-the-art generative AI on a backend you own. Full ownership from ideation to deployment. Direct access to founders and advisors, including the CTO of Inflection AI. Three years of growth packed into one, and Monday morning meetings you actually look forward to.

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Shubham Vishwakarma

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I had an amazing experience. It was a delight getting interviewed via Cutshort. The entire end to end process was amazing. I would like to mention Reshika, she was just amazing wrt guiding me through the process. Thank you team.
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About LearnTube.ai

Founded :
2019
Type :
Product
Size :
20-100
Stage :
Raised funding

About

At LearnTube, we're reimagining how the world learns making education accessible, affordable, and outcome-driven using Generative AI. Our platform turns scattered internet content into structured, personalised learning journeys using:


  • AI-powered tutors that teach live, solve doubts instantly, and give real-time feedback
  • Frictionless delivery via WhatsApp, mobile, and web
  • Trusted by 3.2 million learners across 64 countries


Founded by Shronit Ladhani and Gargi Ruparelia, both second-time entrepreneurs and ed-tech builders:


  • Shronit is a TEDx speaker and an outspoken advocate for disrupting traditional learning systems.
  • Gargi is one of the Top Women in AI in India, recognised by the government, and leads our AI and scalability roadmap.


Together, they bring deep product thinking, bold storytelling, and executional clarity to LearnTube’s vision. LearnTube is proudly backed by Google as part of their 2024 AI First Accelerator, giving us access to cutting-edge tech, mentorship, and cloud credits.

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Tech stack

Generative AI

Candid answers by the company

What does the company do?
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At LearnTube, we’re on a mission to make learning accessible, affordable, and engaging for millions of learners globally. Using Generative AI, we transform scattered internet content into dynamic, goal-driven courses with:

  • AI-powered tutors that teach live, solve doubts in real time, and provide instant feedback.
  • Seamless delivery through WhatsApp, mobile apps, and the web, with over 1.4 million learners across 64 countries.

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