The finance solution that energizes SMEs and freelancers
Backend Product Engineer – Python, AI
Location
France
Posted
1 day ago
Salary
0
Seniority
Senior
Job Description
Backend Product Engineer – Python, AI
Qonto
• 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.
Job Requirements
- 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
- 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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