AI Cloud Engineer Intern — Build Production-Ready Agents

Google Inc.; Singapore; On-site; SGD 36,000 - 45,000; Full time

Benefits offered by this job

Paid internship

Executive speaker series

Community-building

Job summary

Google Cloud Consulting in Singapore invites early-career engineers for a 10-12 week paid internship as embedded builders delivering agentic AI and cloud integration. You will work with customer environments, coding, debugging, and shipping bespoke workflows.

You will collaborate with Google's engineering teams, apply best practices, and help shape future products. Applicants are pursuing Bachelor's or Master's in CS/engineering with exposure to Python/Java/Go and data pipelines.

Qualifications

• Pursuing a Bachelor's or Master's in CS/Engineering or related field.
• Penultimate year student in Bachelor’s or Master’s program.
• Experience with software development in one or more languages (Python, C, C++, Java, JavaScript).
• Experience in building data pipelines, cloud databases, or AI/ML workflows (RAG architectures).

Responsibilities

• Develop complex applications transitioning prototypes to production-grade agentic workflows and cloud software.
• Design APIs, data pipelines, and security perimeters to integrate AI and cloud tech with live enterprise systems.
• Collaborate with customer engineers to apply Google-grade software development practices.
• Capture real-world insights as feature requests for Core Engineering teams.
• Manage priorities and deliverables while tackling full-stack and infrastructure challenges.

Skills

Python

C

C++

Java

JavaScript

Data pipelines

Cloud databases

AI/ML workflows

LangGraph

CrewAI

ADK

LLM metrics

Technical communication

Education

Bachelor’s degree in CS/Engineering

Master’s degree in CS/Engineering

Tools

LangGraph

CrewAI

ADK

Job description

Google Cloud Consulting in Singapore invites early-career engineers for a 10-12 week paid internship as embedded builders delivering agentic AI and cloud integration. You will work with customer environments, coding, debugging, and shipping bespoke workflows.

You will collaborate with Google's engineering teams, apply best practices, and help shape future products. Applicants are pursuing Bachelor's or Master's in CS/engineering with exposure to Python/Java/Go and data pipelines.