Senior Android Engineer - AI Agents
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. Our culture puts customer satisfaction at the core of what we do (more about our culture here ). [OUR JOURNEY] Founded in 2016 and launched in 2017 by Alexandre and Steve , Qonto has grown to 1,700 Qontoers serving over 750,000 customers across 8 European countries. With 80+ nationalities, 45% women, and 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. 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. ➡️ Ship features, fast & well: Deliver Android features for our AI agents from scoping to release, balancing speed with reliability and minimal technical debt. 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. ➡️ Kotlin expertise: You have strong production experience in Android with Kotlin and know how to ship at pace. 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. 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. This role is designed to evolve toward AI engineering — if becoming an AI-native engineer is your ambition, this is where it happens. ➡️ 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. 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) ~ DIVERSITY] 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? DATA RETENTION] 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.
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. 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. ➡️ Ship features, fast & well: Deliver Android features for our AI agents from scoping to release, balancing speed with reliability and minimal technical debt. 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. ➡️ Kotlin expertise: You have strong production experience in Android with Kotlin and know how to ship at pace. 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. 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. This role is designed to evolve toward AI engineering — if becoming an AI-native engineer is your ambition, this is where it happens. ➡️ 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. 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) ~ DIVERSITY] 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? DATA RETENTION] 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.