Google

Runs Search and YouTube and builds Gemini AI

Forward Deployed Engineer Intern

AI Application EngineeringConfirmed live in the last 24 hours

Internship · Winter 2027SingaporeNo salary listed

About the Job

Requirements

Currently pursuing a Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
Be enrolled in the penultimate academic year of a Bachelor's or Master's degree.
Have experience with software development in one or more programming languages, such as Python, C, C++, Java, or JavaScript.
Have relevant practical or internship-based experience building and executing structured or unstructured data pipelines, cloud platform databases, or AI/ML-driven workflows such as retrieval-augmented generation architectures.
Have experience developing accessible technologies.
Have experience developing backend systems and using modern coding environments such as Go, Rust, Java, or machine-learning pipelines in Python.
Have practical experience implementing multi-agent orchestration frameworks such as LangGraph, CrewAI, or ADK, or optimized state management and granular tracing.
Have knowledge of large language model-native metrics, such as tokens per second and cost per request, and techniques for optimizing state management and granular tracing.
Be proficient in English.
Be located in Singapore for the duration of the internship.
Have current authorization to work in Singapore; the employer prioritizes applicants who do not require visa sponsorship.

Responsibilities

Develop complex applications, transitioning rapid prototypes to production-grade agentic workflows, including multi-agent systems, and robust cloud-based software solutions.
Write product or system development code and participate in code reviews to ensure accuracy, testability, style, and efficiency.
Design and code APIs, data pipelines, and security perimeters to integrate Google's AI and cloud technologies with live enterprise infrastructure.
Collaborate with customer engineering teams to promote software development best practices and support long-term system adoption.
Identify repeatable field patterns and technical barriers, and convert real-world insights into formal product feature requests and reusable modules for Core Engineering teams.
Manage project priorities, deadlines, and deliverables, and address full-stack or infrastructure challenges.
Lead technical discovery and collaborative workshops.

Desired Qualifications

Experience developing accessible technologies.
Experience with backend system development and modern coding environments such as Go, Rust, Java, or machine-learning pipelines in Python.
Practical experience implementing multi-agent orchestration frameworks such as LangGraph, CrewAI, or ADK, or optimized state management and granular tracing.
Knowledge of large language model-native metrics, such as tokens per second and cost per request, and techniques for optimizing state management and granular tracing.
Technical communication skills and interest in leading technical discovery and collaborative workshops.

Serve as a developer for complex applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems) and robust cloud-based software solutions. Write high-quality product or system development code, and actively participate in code reviews to ensure best practices in accuracy, testability, style, and efficiency.
Design and code the connective tissue (APIs, data pipelines, security perimeters) to integrate Google’s AI and cloud technologies with live enterprise infrastructure.
Collaborate closely with customer engineering teams to instill Google-grade software development best practices, ensuring long-term system adoption.
Identify repeatable field patterns and technical barriers, converting real-world insights into formal product feature requests and reusable modules for our Core Engineering teams.
Manage project priorities, deadlines, and deliverables while remaining enthusiastic about taking on full-stack roadblocks or infrastructure challenges.

Minimum qualifications:

Currently pursuing a Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
Enrolled in the penultimate academic year of a Bachelor’s or Master’s degree.
Experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
Relevant practical or internship based experience building and executing structured/unstructured data pipelines, cloud platform databases, or AI/ML-driven workflows (such as RAG architectures).

Preferred qualifications:

Experience developing accessible technologies.
Experience with backend system development and modern coding environments (e.g., Go, Rust, Java, or ML pipelines in Python).
Practical experience implementing multi-agent orchestration frameworks (e.g., LangGraph, CrewAI, ADK) or optimized state management / granular tracing.
Knowledge of Large Language Model (LLM) native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.
Outstanding technical communication skills with an interest in leading technical discovery and collaborative workshops.

It’s an exciting time to join our Google Cloud Consulting team, leading the AI and cloud revolution for businesses worldwide. In this role, you’ll work hand-in-hand with our customers as an embedded builder, bridging the gap between frontier AI products and production-grade reality. We are looking for early-career, high-agency engineers with a founder’s mindset. Moving beyond high-level architecture, you will code, debug, and jointly ship bespoke agentic solutions directly within customer environments while helping solve integration, data readiness, and state-management challenges. Joining a collaborative culture with direct access to Google's engineering minds, you will act as an innovator-builder, providing white-glove deployment of complex AI systems and serving as a critical feedback loop to shape Google Cloud’s future product roadmap.

Join us for a unique 10-12 week paid internship that offers personal and professional development, an executive speaker series, and community-building.

Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Applications will be reviewed on a rolling basis and it’s in the candidate’s best interest to apply early. The anticipated application window is open from October 13 - November 15, 2026, but may close earlier if all available projects are full. Applications submitted after the application window or once role is closed/projects are full will not be considered.

Participation in the internship program requires that you are located in Singapore for the duration of the internship program.

Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for this internship program.

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

Currently pursuing a Bachelor's or Master's degree in Computer Science, Engineering, or a related technical field.
Enrolled in the penultimate academic year of a Bachelor’s or Master’s degree.
Experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).
Relevant practical or internship based experience building and executing structured/unstructured data pipelines, cloud platform databases, or AI/ML-driven workflows (such as RAG architectures).

About the Company

Google

Runs Search and YouTube and builds Gemini AI

Google runs the world's most used search engine and free services such as YouTube, Android, and Gmail, and it builds the Gemini AI models that work inside them. In 2017, its researchers invented the transformer, the neural network design behind ChatGPT and most other AI chatbots. People use these services without paying, and Google earns most of its money from ads placed beside search results and YouTube videos. Businesses rent computing power and Gemini models through Google Cloud, and Google also sells subscriptions and Pixel phones. Larry Page and Sergey Brin founded Google in 1998 as Stanford PhD students; it is based in Mountain View, California, United States, and is the main business of parent company Alphabet.

Company size: 10,001+
Company stage: IPO
Headquarters: Mountain View, CA
Founded: 1998

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