AI DevTools Engineer: Automations & Productivity

Google Inc.

Singapore

On-site

SGD 120,000 - 190,000

Full time

8 days ago
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Job summary

Google is seeking a Software Engineer for AI Engineering Productivity in Singapore. You will apply DevAI tools to automate Google Pay development workflows, improving code context and architecture, while building agent skills and prompts for client-facing features.

You will also push end-to-end QA and bug fixing via AI agents and collaborate with UX to deliver production-ready view code. The role emphasizes mentorship, scalable systems, and collaboration with PM/UX across mobile/frontend

Qualifications

  • Bachelor's degree or equivalent practical experience.
  • 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree.
  • 1 year of experience with AI and agentic development.

Responsibilities

  • Apply cutting-edge DevAI tools and knowledge to create valuable automations for the Google Pay development team.
  • Supercharge client development by leveraging AI to improve code context, development workflows, and code architecture.
  • Create agent skills, craft prompts, and write engineering designs for client-facing features to continually push the boundaries of automation.
  • Experiment with and implement end-to-end automatic quality assurance and bug fixing using AI agents.
  • Develop agent skills and improve design processes to enable UX partners to confidently deliver high-quality view code directly into production.

Skills

Programming languages
AI/agentic development
Mentoring

Education

Bachelor's degree or equivalent practical experience

Tools

Flutter
Dart

Job description

Google is seeking a Software Engineer for AI Engineering Productivity in Singapore. You will apply DevAI tools to automate Google Pay development workflows, improving code context and architecture, while building agent skills and prompts for client-facing features.

You will also push end-to-end QA and bug fixing via AI agents and collaborate with UX to deliver production-ready view code. The role emphasizes mentorship, scalable systems, and collaboration with PM/UX across mobile/frontend

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