Software Engineer, Content Safety, AI Transformation Enablement

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

Job summary

Google’s Content Safety team in Singapore seeks a Software Engineer to drive AI transformation enablement, delivering scalable, safe AI systems across product and infrastructure. You will contribute to design, deployment, and testing of modules that enable robust content-safety solutions for billions of users, while collaborating with cross-functional teams.

The role emphasizes modular software components, API integrations, and multi-step AI orchestration pipelines with a focus on responsible AI

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 ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).

Responsibilities

• Build high-quality systems that address content safety problems for Google users.
• Design and implement robust, modular software components for readable, maintainable code.
• Implement and maintain agentic flows and multi-step AI orchestration pipelines with secure APIs and data stores.
• Develop and test validation gates, routing logic, and tool-use schemas for deterministic execution.
• Deploy production-grade content safety solutions across server and on-device environments.

Skills

Software development

ML infrastructure

ML fundamentals

Education

Bachelor’s degree or equivalent practical experience

Tools

APIs

SDKs

Cloud-hosted models

Job description

Software Engineer, Content Safety, AI Transformation Enablement

Google

Singapore

Mid

Experience driving progress, solving problems, and mentoring more junior team members; deeper expertise and applied knowledge within relevant area.

Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google’s sponsorship of a visa.

Minimum 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 ML infrastructure (e.g., model deployment, model evaluation, optimization, data processing, debugging).
• 1 year of experience with one or more of the following: Speech/audio (e.g., technology duplicating and responding to the human voice), reinforcement learning (e.g., sequential decision making), or specialization in another ML field.

Preferred qualifications:

• Experience integrating Generative AI APIs, foundation model Software Development Kits (SDKs), and calling cloud-hosted models within software applications.
• Experience designing clean software components, modular interfaces, and robust data models within complex systems.
• Experience implementing or testing agentic flows (e.g., both stateless and stateful) and multi-step AI orchestration pipelines, including prompt engineering and tool-use (e.g., function calling) schemas.
• Basic understanding of ML concepts and how Large Language Models (LLMs) work (e.g., high-level mechanics of transformers, embeddings, or model activations).
• Familiarity with or interest in Responsible AI or safety-adjacent fields such as factuality, policy enforcement, or adversarial defense.

About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

The Content Safety organization in Core provides safety solutions that protect Google’s users from exposure to offensive, sensitive or harmful content. The team unblocks and accelerates Google's product launches by providing quality implementations of company-wide standards for Responsible Artificial Intelligence (AI). The team combines subject matter expertise in the content safety domain and a practice of machine learning and AI-based techniques with the production-grade experience in serving infrastructure and product integrations to protect users from harm, maintain Google’s engagement in the area of online safety across the industry, and make foundational models and the internet safer for society.

The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.

Responsibilities

• Build high-quality systems that help your team deliver on its commitments to clients, ensuring effective and performant solutions to content safety problems.
• Own the design and implementation of robust, modular software components to ensure clean, readable, and maintainable code.
• Implement and maintain both stateless and stateful agentic flows, supporting multi-step AI orchestration pipelines that interact securely with Application Programming Interfaces (APIs), databases, and external tools.
• Develop and test validation gates, routing logic, and tool-use schemas to guarantee deterministic and compliant execution within our autonomous safety agent pipelines.
• Build and deploy production-grade content safety solutions across both server-side and on-device environments.

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We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law.

See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.

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Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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