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BJAK

Android Software Engineer - AI Neobank App

Reposted 2 Months Ago
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Hybrid
Tokyo
Mid level
Hybrid
Tokyo
Mid level
Build and ship native Android features for an AI-enabled neobank using Kotlin and modern Android architecture. Integrate backend APIs, improve performance and stability, use analytics to iterate, and design AI-assisted mobile experiences in collaboration with product and design.
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About Doit

We are focused on reinventing how people spend, save, invest, exchange, travel, and more. Our objective is to build tools that will help people get more from their money and become an expert at ease. We believe AI will help make finance smart, assessible and safe.

 

We are looking for the most talented and driven people we can find. We are looking for people who work for their passion, not counting hours. Who loves building great next-generation products, not status quo. Who cares about redefining how everyone around us can get the best financial applications, not for an exclusive few. We have teams working around the world, with over 20 nationalities and growing from our offices and remotely. Join us and build a better future for our society.

 

In 2019, we built the first mobile-first, insurance platform, enabling insurance to be accessible online by millions in the region. Today, it's the leading insurance platform in Southeast Asia.

 
The Role

We are looking for Android software engineers to build the native Android experience for Doit's AI Neobank App.
This role is for someone who cares about clean user flows, fast performance, product quality and shipping reliable mobile features used by real customers.

 
What You'll Own
  • Build and ship Android features using Kotlin.

  • Create clean mobile flows for insurance, payments, claims, renewals and financial services.

  • Work with product and design to simplify complex user journeys.

  • Integrate backend APIs and ensure mobile flows are stable, secure and reliable.

  • Improve app performance, crash rate, loading states, responsiveness and memory usage.

  • Use analytics, user behaviour and production issues to improve the product.

  • Build AI-assisted mobile experiences only where they genuinely improve the user journey.

 
What We're Looking For
  • 3+ years of Android development experience using Kotlin.

  • Strong Android fundamentals and experience shipping production apps.

  • Good knowledge of Jetpack, Coroutines, Flow and modern Android architecture.

  • Strong sense of mobile UX, usability, edge cases and user flows.

  • Experience integrating REST APIs and debugging production issues.

  • Fast execution, high ownership and strong attention to product quality.

  • App links, GitHub, screenshots or examples of shipped work are a strong advantage.

 
Tech Stack
  • Kotlin

  • Jetpack Compose

  • Android SDK

  • Coroutines & Flow

  • SQL / NoSQL

  • TensorFlow Lite (on-device inference)

 
The Kind of Builder We Want
  • Thinks in user journeys, not just screens.

  • Cares about making complex financial products feel simple.

  • Moves fast without creating messy code.

  • Notices UX, performance and reliability issues before users complain.

  • Honest about what they personally built, what was team-owned and what impact they can or cannot claim.

 
This Role Is Not For
  • Engineers who only want fully defined tickets.

  • Developers who build screens without caring about user experience.

  • People who ignore crashes, edge cases, loading states or performance.

  • Engineers who move slowly in a startup environment.

  • People who exaggerate impact without explaining their actual contribution.

 
Location

This role is based in Japan. This is a hybrid role. You are expected to work from our Japan office at least 3 days per week.

 
Language

English is our main working language across global teams. Strong English communication is required.

 
Interview Process

Our process is designed to move fast:

1. Online assessment or practical task

2. Role-specific interview

3. CEO / final round


For strong candidates, we aim to complete the process and make an offer within 1 week from the start of the interview process. Candidates who complete assessments quickly will be prioritized.

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