Qonto · Finance

Senior Android Engineer - AI Product

  • Paris (Hybrid)
  • Full-time

AI roleAI EngineerBuilds with LLMs

Still open on Qonto's site · checked 5 hours ago

Level
Senior
Posted

What you'll do

As written by Qonto · Read the original

➡️ 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.

Requirements

➡️ 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.

Skills

Stack

  • Kotlin

Working languages

English

Salary & benefits

➡️ 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.

Company

Last checked . The details above were extracted automatically; the employer's original posting is the authority.

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