Hands-on AI & Cloud Engineer Intern

Google LLC; Singapore; On-site; SGD 20,000 - 27,000; Part time

Benefits offered by this job

Paid internship

Executive speaker series

Professional development

Job summary

Google LLC is seeking an early-career engineer for a 10-12 week paid internship in Singapore, focusing on AI and cloud-enabled agentic workflows. You will work directly with customers as an embedded builder, shipping production-grade AI solutions while tackling data readiness and state-management challenges.

You will join a collaborative team with access to Google's engineering minds, contributing to the architecture and implementation of frontier AI products and their deployment in enterprise

Qualifications

• Enrolled in penultimate year of Bachelor's or Master's in CS/Engineering or related technical field.
• Practical experience building/ executing structured or unstructured data pipelines, cloud platform databases, or AI/ML workflows (e.g., RAG).
• Strong English proficiency and ability to collaborate across teams.

Responsibilities

• Develop and ship complex agentic workflows and cloud-based software within customer environments.
• Design APIs, data pipelines, and security perimeters to integrate Google AI and cloud tech with live enterprise infra.
• Collaborate with customer engineering teams to promote Google-grade software development practices.
• Translate real-world insights into formal product feature requests and reusable modules for Core Engineering.
• Manage priorities and deliverables while tackling full-stack challenges.

Skills

Backend development

Technical communication

Data pipelines

AI/ML workflows

Go/Rust/Java/Python

Education

Bachelor's or Master's in CS/Engineering

Tools

LangGraph

CrewAI

ADK

APIs & integrations

Job description

Google LLC is seeking an early-career engineer for a 10-12 week paid internship in Singapore, focusing on AI and cloud-enabled agentic workflows. You will work directly with customers as an embedded builder, shipping production-grade AI solutions while tackling data readiness and state-management challenges.

You will join a collaborative team with access to Google's engineering minds, contributing to the architecture and implementation of frontier AI products and their deployment in enterprise