Mobile Software Engineer, Flutter & AI for Pay Experience

Native American Talent; Singapore; On-site; SGD 100,000 - 180,000; Full time

Job summary

Google is hiring a Software Engineer for Google Pay Mobile Development in Singapore. You will work on Flutter/Dart cross‑platform shopping experiences, collaborating with PM/UX teams and other partners to integrate AI/ML models.

The role involves developing and iterating on LLM prompts and AI infrastructure, plus conducting AI evaluations of conversational and GenAI outputs. The team emphasizes scale, security, and high-quality user experiences across Android and iOS platforms, with

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.
• 1 year of experience with Android application development.

Responsibilities

• Work extensively in a Flutter (Dart) codebase delivering seamless, cross‑platform shopping experiences to Google Pay users.
• Partner effectively with Product Manager (PM) and User Experience (UX) leads to build new user-facing experiences, and collaborate closely with cross-Product Area (PA) partner teams to integrate AI/ML models into the client.
• Develop and iterate on Large Language Model (LLM) prompts and AI infrastructure setup to improve the quality of our conversational AI stylist.
• Conduct AI evaluations, including operational and qualitative assessments for conversational AI response and image/video GenAI results.

Skills

Programming languages

Android development

Data structures & algorithms

Education

Bachelor's degree or equivalent

Job description

Google is hiring a Software Engineer for Google Pay Mobile Development in Singapore. You will work on Flutter/Dart cross‑platform shopping experiences, collaborating with PM/UX teams and other partners to integrate AI/ML models.

The role involves developing and iterating on LLM prompts and AI infrastructure, plus conducting AI evaluations of conversational and GenAI outputs. The team emphasizes scale, security, and high-quality user experiences across Android and iOS platforms, with