Backend Product Engineer – Python, AI

Qonto

Backend Product Engineer in Qonto's AI Lab, transforming finance management for businesses with user-facing AI agents. Delivering AI solutions every 6 weeks, owning backend and AI logic end-to-end.

Posted 5/25/2026full-timeRemote • 🇫🇷 FranceMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

GoJavaScriptPythonReact

About the role

Key responsibilities & impact

Join our AI Lab as a Backend Product Engineer and help accelerate Qonto's transition to an AI-first product.
Ship user-facing AI agents that transform how 600,000+ businesses manage their finances, working in small, autonomous squads under the guidance of Sophie, our Manager for the AI Lab.
Deliver a new AI agent every 6 weeks, owning the full backend and AI logic from scoping to deployment — balancing speed with reliability and minimal technical debt.
Architect pragmatic LLM guardrails and future-proof components that hold up in a regulated banking environment and don't need rewriting three months later.
Use AI coding tools (Cursor, Claude Code, Copilot…) for ~70% of your coding to review, refine, and ship features faster.
Contribute to frontend (React/JS) via vibe coding when needed, with the FE engineer reviewing your PRs — so the squad stays unblocked.

Requirements

What you’ll need

Python expertise: You have strong production experience in Python and know how to ship at pace — Go is a plus for integrating with Qonto's core services.
Startup mindset: You're a fast learner and confident shipper who thrives without a tech lead to lean on — fintech or regulated industry experience is a plus.
AI-native workflow: You use AI coding tools daily to amplify your output. Cursor or Claude Code isn't something you're trying — it's how you work.
AI curiosity over AI expertise: Production AI experience isn't required. What matters is genuine curiosity: you follow the space, experiment on the side, and have tried building something, even just for yourself.
Strong communication: You articulate technical decisions clearly to non-technical stakeholders and navigate cross-functional squads with ease.

Benefits

Comp & perks

Unlimited access to the best AI tools on the market: Claude Code, Cursor, Copilot, Dust, Notion AI.
A Python-first stack with hands-on AI agent work from day one — PydanticAI, LangGraph, LangChain in the mix (framework awareness appreciated; production expertise not required).
A squad culture where autonomy is the default — minimal process, quick dailies, weekly demos with leadership, and every hour counting.
A clear growth path: this role is designed to evolve toward full-stack and AI Software Engineer. If becoming an AI-native engineer is your ambition, this is where it happens.

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Hard Skills & Tools

PythonGoAI coding toolsLLM guardrailsbackend developmentAI logicfrontend developmentReactJavaScript

Soft Skills

startup mindsetfast learnerconfident shipperstrong communicationcuriositycollaborationarticulation of technical decisions