Senior Backend Product Engineer – Python/Go

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Qonto

WebsiteLinkedInAll Job Openings

501 - 1000 employees

💰 $500k Grant on 2022-10

Qonto is the leading European business finance solution. It simplifies everything from everyday banking and financing, to bookkeeping and spend management. Qonto energizes SMEs and freelancers so that they can achieve more.

📋 Description

• Join our AI Lab as a Senior 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 our Manager for the AI Lab. • Build & 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) when needed, with the front-end engineer reviewing your PRs — so the squad stays unblocked.

🎯 Requirements

• Python expertise: You have strong production experience in Python and know how to ship at pace — Go/RoR knowledge is a plus for integrating with Qonto's core services. • Go or Ruby on Rails knowledge: Qonto's core services are built on Go and Ruby — working knowledge of either will make you significantly more effective integrating with the broader platform. • Startup mindset: You're a fast learner and confident shipper who comes from a product-driven, user-centric environment and 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 (with the Superpowers plugin), Cursor, Copilot, 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 lean culture where autonomy is the default — you're building the agents, not just using them, owning the outcome end to end in a squad with minimal process and every hour counting. • A clear growth path: this role is designed to evolve toward an AI Software Engineer role. If becoming an AI-native engineer is your ambition, this is where it happens.