Backend Python Developer AI-native

Novakid is on a mission to build the best online education platform for kids worldwide. We've already got over 90,000 students and 3,500 teachers making learning awesome in over 30 countries in Europe and Asia. But we're not stopping there—we need your help to take things to the next level!

We're searching for a senior backend developer who's brilliant with Python, PostgreSQL, and REST APIs, and who's also got a solid understanding of cutting-edge AI models. You'll be joining a small, super-effective team focused on developing the AI magic that powers our language learning platform.

What we offer

Fully remote work (core hours GMT+3).

A chance to shape the future of AI-driven education.

A fun, dynamic team that loves building innovative products.

Unlimited holidays – because we trust you to deliver.

Bonuses and stock options – we grow together.

Requirements

What you'll bring

A degree in Computer Science, Engineering, or something similar.

5+ years of hands-on experience as a Python Developer. You should be comfortable working with Python 3.8+

Deep experience in designing and building scalable backends and REST APIs. Our stack includes PostgreSQL, Redis, FastAPI, SQLAlchemy, Celery, and pydantic.

A strong grasp of modern LLMs (like OpenAI, Anthropic, Gemini), agentic tools (like Claude Code, OpenAI Codex CLI, Amp) and real experience building solutions that use them.

AI-Native Engineering Workflow

Hands-on experience with AI coding agents in CLI environments: Claude Code, OpenAI Codex CLI, Amp, or similar tools for backend development. You should understand how to orchestrate multi-step engineering tasks—breaking down complex features into agent-executable chunks, reviewing AI-generated code critically, and maintaining architectural integrity. Familiarity with plan-execute-review workflows where AI agents propose implementation strategies before coding. Understanding of compound AI systems—not just using LLMs, but orchestrating multiple AI tools in your development workflow.

Proficiency in context engineering for team collaboration: setting up and maintaining shared configuration files (agents.md, CLAUDE.md, custom skills/plugins) that encode team conventions, API patterns, and deployment practices. Experience sharing these configurations across teams to ensure consistent AI-assisted development. Understanding of compound AI systems—not just using LLMs, but orchestrating multiple AI tools in your development workflow.

Experience with microservice architecture and the AWS serverless stack.

You should be fluent in English.

Bonus points if

You've worked in startups or small teams.

You're a self-starter who also thrives as part of a team.

You're all about solving business problems, not just writing code.

You can use AI tools to create solutions quickly, in days or hours, not weeks or months.

You have experience with e-commerce or e-learning projects.

You've led teams or mentored other developers.

You've deployed applications on AWS.

You know your stuff when it comes to modern software architecture.

You've worked with no/low-code workflow automation.