Backend Engineer (Python / Distributed Systems)
AI EdTech
Remote / Local
Full-Time
Immediate Joining
₹25K – ₹50K / Month
zeqo.in
About Us
At Zeqo Systems, we are building a next-generation "School OS" powered by autonomous AI agents. Our platform grades complex student homework, generates dynamic study materials, and tutors students in real-time. We are currently preparing for a massive pilot launch across multiple schools, and we need a heavy-hitting backend engineer to help us scale.
The Challenge: Transitioning from a prototype architecture to a production-grade, highly concurrent system.
If you love untangling the Python Global Interpreter Lock (GIL), hunting down event-loop starvation in asyncio, and architecting robust worker queues to handle hundreds of simultaneous users, this is the role for you.
What You'll Do
- Architect for Concurrency: Migrate volatile asyncio background tasks into robust, decoupled worker queues using Celery & Redis to guarantee zero data loss under heavy concurrent loads.
- Eradicate Event-Loop Blocking: Audit and refactor our FastAPI backend to eliminate synchronous I/O blocking, ensuring rapid Time-To-First-Byte (TTFB) even when 100+ students submit homework simultaneously.
- Secure AI Execution: Design and implement strictly sandboxed environments (e.g., Docker/E2B) to safely execute LLM-generated code (like Physics simulation scripts).
- Optimize Database Topologies: Move our architecture from NullPool connections to highly optimized SQLAlchemy connection pools to prevent database exhaustion.
- Tame LLM Cascades: Implement Just-In-Time (JIT) generation and robust caching layers to prevent third-party AI API rate-limit cascades.
- Own the Infrastructure: Secure cloud buckets, enforce strict schema hygiene (UUIDs, normalized DateTimes), and integrate Sentry for crash tracking.
What You Bring
- Strong backend engineering experience with deep expertise in Python.
- Extensive experience with FastAPI, SQLAlchemy, and PostgreSQL.
- Proven track record of designing distributed systems using Celery, Redis, or RabbitMQ.
- A deep understanding of Python's asyncio mechanics—you know exactly why putting a synchronous open() or a CPU-bound image rendering task in an async route is a bad idea.
- Strong security fundamentals: you know how to lock down cloud buckets, secure APIs, and sandbox untrusted code.
Bonus Points If You Have
- Experience building backend infrastructure for LLM applications (LangChain, OpenAI, Anthropic, Google Gemini).
- Familiarity with vector databases (Qdrant, Pinecone).
- Experience in the EdTech sector.
Compensation & Perks
- Salary: ₹25,000 – ₹50,000 per month, based on skills and experience.
- ESOPs: Employee Stock Ownership Plan available for long-term commitment (1+ year), giving you real equity in what you build.
- AI-First Toolkit: Full access to premium AI coding tools - Claude Code, Antigravity, and Cursor - provided by the company.
- Immediate Joining with flexible remote-friendly setup.
- Direct Impact: Work directly with the founding team on decisions that shape the product.
Why Join Us?
You won't be maintaining legacy CRUD apps here. You will be building the structural foundation for an AI system that directly interacts with and educates students. If you want to solve complex distributed systems problems at the cutting edge of AI, apply below!
Apply at [email protected]
Pay: ₹25,000.00 - ₹50,000.00 per month
Benefits:
Work Location: Remote
