Senior Android Engineer - AI Agents

About the role

Qonto, a European finance workspace for SMEs, is hiring a Senior Android Engineer for its AI Product team. You will build user-facing AI agent experiences used by 750,000+ businesses to manage their finances, working in small, autonomous squads under the guidance of the AI Product Lead and two Tech Leads. The role owns the Android experience end-to-end, building reliable, maintainable foundations that scale across the app. Candidates must live in, or be willing to relocate to, Germany, France, Italy, Serbia, Portugal or Spain.

Key responsibilities

• Deliver Android features for AI agents from scoping to release, balancing speed with reliability and minimal technical debt.
• Architect clean, SOLID, testable and performant Android code suitable for a regulated banking environment.
• Use AI coding tools (such as Cursor and Claude Code) for around 70% of coding to review, refine and ship features faster.
• Bring AI agent features shipped on Web to the Android app quickly, working with Product, iOS, Backend and Frontend teams.

Required profile

• Strong production experience shipping Android at pace with Kotlin.
• Startup mindset: fast learner and confident shipper from a product-driven, user-centric environment; fintech or regulated industry experience is a plus.
• Daily use of AI coding tools, having already built or tested something with AI.
• Clear communication of technical decisions to non-technical colleagues and ability to disagree and commit.
• Swift knowledge is a nice to have, not required.

Required skills

• Kotlin and Android development
• SOLID principles and testable code
• AI coding tools such as Cursor and Claude Code

What we offer

• Unlimited access to AI tools, including Claude Code, Cursor and Notion AI.
• A team that becomes a platform for other teams to build their own AI agents.
• A lean culture with autonomy, minimal process and quick dailies and weekly demos.
• A growth path toward AI engineering.

Hiring process: two interviews (one hour each) and a live 2-hour Android skill test, followed by a final meeting with the AI Product Lead, aimed at completion within 10 days.