AI-Driven Software Engineer — Safety & ML Pipelines

Google; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Google Singapore is seeking software engineers who can build scalable safety systems and integrate generative AI tools into complex workflows. The role emphasizes on-device and server-side components, deterministic decision logic, and strong collaboration with senior engineers.

Applicants should have at least a year of coding experience across common languages, solid foundations in data structures, and familiarity with ML concepts.

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 implementing core Machine Learning (ML) concepts.
• Experience integrating generative AI tools or Large Language Model (LLM) interfaces into workflows.

Responsibilities

• Write and maintain high-quality, readable, and well-tested code for on-device and server-side content safety applications.
• Develop and test validation gates, routing logic, and tool-use schemas to ensure deterministic and compliant execution within our autonomous safety agent pipelines.
• Contribute to implementing and maintaining both stateless and stateful agentic flows, supporting multi-step AI orchestration pipelines that interact with APIs, databases, and external tools to automate safety decisions.
• Support the team in delivering on commitments to clients, ensuring robust and performant solutions to user protection challenges.
• Collaborate closely with mentors and executive engineers to learn Google’s development processes, design patterns, and system architectures.

Skills

Programming languages

Data structures & algorithms

Core ML concepts

GenAI / LLM tool integration

Education

Bachelor’s degree or equivalent practical experience

Tools

APIs

Foundation models endpoints

Job description

Google Singapore is seeking software engineers who can build scalable safety systems and integrate generative AI tools into complex workflows. The role emphasizes on-device and server-side components, deterministic decision logic, and strong collaboration with senior engineers.

Applicants should have at least a year of coding experience across common languages, solid foundations in data structures, and familiarity with ML concepts.