Senior Backend Engineer - Python/Go [AI LAB]

Qonto; Paris; Sur place; EUR 90 000 - 120 000; Plein temps

Avantages offerts par ce poste

Unlimited AI tools

Python stack

Autonomy

Growth path

Résumé du poste

Qonto is building an AI-first product with an autumn of AI agents. You will own backend and AI logic end-to-end, shipping a new agent every six weeks and ensuring scalability in a regulated banking environment. You’ll collaborate with Sophie, and the AI Lab to push the frontier of fintech AI.

You’ll work in a Python-first stack with Cursor, Claude Code, and LangChain, while occasionally contributing to the frontend when needed to unblock the squad.

Qualifications

• Production Python experience and fast delivery cadence.
• Go/RoR knowledge helps integration with core services.
• Product-driven, user-centric environment experience preferred.
• Willingness to experiment with AI and ship features.
• Strong communication with non-technical stakeholders.
• Ability to work in cross-functional squads.

Responsabilités

• Ship a new AI agent every 6 weeks covering backend and AI logic.
• Architect guardrails and scalable components for a regulated banking context.
• Leverage AI coding tools daily to accelerate development.
• Contribute to frontend when needed to keep squads unblocked.

Connaissances

Python

Go/RoR

Go or Ruby on Rails

Startup mindset

AI-native workflow

AI curiosity

Outils

Cursor

Claude Code

Copilot

Description du poste

Our mission and customers: We are creating the freedom for SMEs to succeed by delivering Europe's leading finance workspace with banking at its core, augmented by financial tools. We are proud to be rated 4.8 on Trustpilot, based on 55,000+ reviews. Our culture puts customer satisfaction at the core of what we do, as proven by our Net Promoter Score of 75 (more about our culture here).

Our journey: Founded in 2017 by Alexandre and Steve, Qonto has grown to 1,600+ Qontoers serving over 600,000+ customers across 8 European countries. We have been profitable since 2023, and we are just getting started.

Our beliefs: We hire for skills and potential. With 80+ nationalities, 45% women, of which 56% of women in our leadership team, diversity isn't a program; It's who we are. We've built a discrimination-free hiring process because the best teams are built on merit.

AI at Qonto: AI is deeply embedded in how we work here. Every Qontoer gets unlimited access to the best AI tools. We want people who experiment without waiting for permission, push AI beyond the obvious, know when to trust it, and when to question it.

Location: You can choose to work at Qonto as long as you're living in (or willing to relocate to) either Germany, France, Italy, Serbia, Portugal, or Spain.

Mission

Join our AI Lab as a Senior Backend Product Engineer and help accelerate Qonto's transition to an AI-first product. You'll 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.

With an ambitious goal to launch one AI agent every 6 weeks, you'll own the backend and AI logic end-to-end — building reliable, maintainable systems that scale as the Lab grows.

What you'll do

• Ship fast and well: 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.
• Build for the long term: Architect pragmatic LLM guardrails and future‑proof components that hold up in a regulated banking environment and don't need rewriting three months later.
• Leverage AI daily: Use AI coding tools (Cursor, Claude Code, Copilot…) for ~70% of your coding to review, refine, and ship features faster.
• Go full‑stack when it counts: Contribute to frontend (React/JS) when needed, with the FE engineer reviewing your PRs — so the squad stays unblocked.

What we're looking for

• 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.

What we can offer you

• 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.

About your future manager

You’ll work closely with Sophie, Manager of the AI Lab — but don't expect hand‑holding.

Sophie has led cross‑functional teams through the full product lifecycle at both fast‑growing startups and established tech companies. She partners directly with Product and Tech leadership to align the AI roadmap with Qonto’s strategic goals. Steve, one of our founders, attends Friday demos regularly.

Her approach: give engineers real ownership, create space for experimentation, and empower the squad to adapt their ways of working in pursuit of real impact.

About our hiring process

• 2 Interviews (1 hour each): first with your Talent Acquisition Manager, and then with one of our Backend Leads
• Technical case + debrief with two Backend engineers (1 hour)
• Final interview and meeting with Sophie (1 hour)

We aim to wrap the process in 10 days max, from first interview to potential offer.

At Qonto, we understand that true diversity isn’t just about ticking boxes on a hiring checklist. Apply regardless of the boxes you tick — who knows? You may have the missing piece of the puzzle we’ve been searching for all along.

By applying, you agree that Qonto processes your personal data to assess your application. Your data is kept for up to 2 years in our candidate pool. Read our Privacy Notice for full details.

On average, our hiring process lasts 20 working days. More information on our candidate journey here.

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