Senior Android Engineer - AI Product

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 Product team as a Senior Android Engineer and help accelerate Qonto's transition to an AI-first product. You'll build user-facing AI agent experiences used by 750,000+ businesses to manage their finances, working in small, autonomous squads under the guidance of Sophie, our AI Product Lead, and 2 Tech Leads.

As we keep evolving our existing agents and grow into a platform other teams can build their own agents on, you'll own the Android experience end-to-end, building reliable, maintainable foundations that scale across the app.

➡️ What you'll do

• Ship features, fast & well: Deliver Android features for our AI agents from scoping to release, balancing speed with reliability and minimal technical debt.
• Build for the long term: Architect clean, SOLID, testable and performant Android code that holds up in a regulated banking environment and doesn't need rewriting three months later.
• Leverage AI daily: Use AI coding tools (Cursor, Claude Code…) for ~70% of your coding to review, refine and ship features faster.
• Keep mobile on par with web: Bring AI agent features shipped on Web to the Android app quickly, working hand in hand with Product, iOS, Backend and Frontend.

➡️ What we're looking for

• Kotlin expertise: You have strong production experience in Android with Kotlin and know how to ship at pace.
• Startup mindset: You're a fast learner and confident shipper from a product-driven, user-centric environment — 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. Also, you've already built or tested something with AI, even just for yourself.
• Strong communication & solution oriented: You explain technical decisions clearly to non-technical colleagues and know when to disagree and commit.

Swift knowledge is a nice to have, not a requirement. You don't need to tick every box to apply.

➡️ What we can offer you

• AI-first tooling: Unlimited access to the best AI tools on the market, including Claude Code (with the Superpowers plugin), Cursor and Notion AI.
• A team becoming a platform: Your work will help other Qonto teams build their own AI agents.
• A lean culture where autonomy is the default: Minimal process, quick dailies, weekly demos with leadership, and every hour counts.
• A clear growth path: This role is designed to evolve toward AI engineering — if becoming an AI-native engineer is your ambition, this is where it happens.

➡️ Your future manager

You'll work closely with Sophie, our Lead for the AI Product team. 

Sophie has led cross-functional teams through the full product lifecycle at both fast-growing startups and established tech companies, and partners directly with Product and Tech leadership to align the AI roadmap with Qonto's strategic goals.

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, then a technical interview with one of our Tech Leads
• Live skill test with two Android engineers (2 hours)
• Final interview and meeting with Sophie (1 hour)

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