Flutter Software Engineer – AI-Driven Payments

Google

Singapore

On-site

SGD 120,000 - 180,000

Full time

14 days+
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Job summary

Google's software engineers develop the next-generation technologies that connect billions of users with information. This role focuses on building scalable systems across AI, mobile, and web platforms, with opportunities to switch teams as projects grow.

You will contribute Flutter-based features for Google Pay business apps, review code, design APIs, and collaborate with product managers and UX designers to deliver intuitive, secure user experiences at scale.

Qualifications

  • Bachelor’s degree or equivalent practical experience.
  • 1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
  • 1 year of experience with data structures and algorithms.
  • Experience integrating generative AI tools or LLM interfaces into workflows.

Responsibilities

  • Write product or system development code in Flutter for the GPay for Business Applications.
  • Review code from other developers and provide feedback to ensure best practices.
  • Contribute across the full stack, including designing and integrating with server-side APIs.
  • Collaborate with product managers, UX designers, and engineers to define and implement user-facing features.
  • Leverage AI tools to enhance and accelerate development workflows.

Skills

Programming languages
Data structures & algorithms
AI tools integration

Education

Bachelor’s degree
Master’s degree (preferred)

Tools

Flutter/Dart
Java

Job description

Google's software engineers develop the next-generation technologies that connect billions of users with information. This role focuses on building scalable systems across AI, mobile, and web platforms, with opportunities to switch teams as projects grow.

You will contribute Flutter-based features for Google Pay business apps, review code, design APIs, and collaborate with product managers and UX designers to deliver intuitive, secure user experiences at scale.

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