iOS Product Engineer - AI Lab

This job is open to full remote if you are based in France, Germany, Italy, or Spain.

Job Overview

Join our AI Lab as a iOS 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.

Responsibilities

• Ship fast and well: Deliver a new AI agent experience every 6 weeks, balancing speed with reliability and minimal technical debt.
• Build scalable foundations: Architect clean, testable, and performant mobile solutions that scale as we replicate agent capabilities across the app.
• Leverage AI daily: Use AI coding tools (Cursor, Claude Code, Copilot…) for ~70% of your coding to review, refine, and ship features faster.
• Drive cross‑platform speed: Ensure AI features shipped on Web reach Mobile fast, owning the mobile layer end‑to‑end.

Qualifications

• Mobile expertise: You have strong production experience with Swift, and know how to ship at pace – Kotlin is a plus.
• Startup mindset: You're a fast learner and confident shipper who thrives under velocity constraints without sacrificing quality – fintech or regulated industry experience is a plus.
• AI‑native workflow: You're an early adopter of AI coding tools and use them daily to amplify your output – not just experiment with them.
• Adaptability: You're pragmatic, step outside your comfort zone when needed, and commit once a decision is made – even if it wasn't yours.
• Strong communication: You can 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, Cursor, Copilot, Dust, Notion AI.
• A modern mobile stack built on Swift & Kotlin, with full immersion in cutting‑edge AI tooling.
• A squad culture where autonomy is the default – you own your decisions and ship without red tape.
• An AI‑first context with a "startup within a scaleup" mentality: minimal process, quick dailies, weekly demos with leadership, and every hour counting.