Internship - Data, AI & Audience Insights

Starhub Ltd

Singapore

On-site

SGD 13,000 - 20,000

Part time

2 days ago
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Job summary

Starhub Ltd. is offering an internship in Data, AI & Audience Insights.

The role involves supporting the development of AI-powered applications, working with the engineering team to integrate AI capabilities into enterprise platforms, and gaining hands-on experience with cloud development and software engineering best practices. The internship focuses on designing AI agents, building agentic workflows, and integrating LLMs and external tools.

Qualifications

  • Pursuing a degree in a relevant field.
  • Basic understanding of software engineering principles, OOP, and RESTful APIs.
  • Willingness to learn cloud platforms, databases and version control (Git).
  • Strong analytical and communication skills.
  • Self-motivated and able to work independently and in a team.

Responsibilities

  • Design and develop AI agents for enterprise use cases.
  • Build AI-enabled workflows and orchestrate agentic processes.
  • Integrate AI models, APIs and enterprise systems.
  • Develop lightweight frontend interfaces and features.
  • Document technical designs and contribute to knowledge sharing.
  • Assist in testing, debugging and optimization.
  • Collaborate with engineers to deliver scalable AI solutions.
  • Produce technical documentation.

Skills

OOP concepts
RESTful APIs
Analytical skills
Problem solving
Communication skills
Self-motivated

Education

Pursuing Diploma or Bachelor's Degree in CS/SE/IT/CE/Data Science/AI

Tools

AWS
Databases
Git

Job description

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Internship - Data, AI & Audience Insights

Date: 12 Aug 2026

Location: SG

Job Description

The internship will support the development of enterprise AI applications that leverage Generative AI and agentic workflows to improve business processes and user productivity. He/She will work with the engineering team to design, develop, and integrate AI-powered capabilities into enterprise platforms, while gaining hands‑on experience with modern AI technologies, cloud development, and software engineering best practices.

Scope of Work:

The intern will work alongside the engineering team to:

  • Design and develop AI agents for enterprise use cases.
  • Build and enhance agentic workflows using modern AI orchestration frameworks.
  • Integrate Large Language Models (LLMs), retrieval systems, and external tools into AI applications.
  • Develop prototype applications and user interfaces to demonstrate AI capabilities.
  • Assist in building proof-of-concepts for intelligent automation and decision support solutions.
  • Perform software testing, debugging, and optimisation.
  • Document technical designs and contribute to knowledge sharing within the team.

Responsibilies:

  • Develop AI-powered applications and intelligent automation solutions.
  • Design and implement AI agent workflows for enterprise use cases.
  • Integrate AI models, APIs, and enterprise systems.
  • Develop lightweight frontend interfaces and application features.
  • Perform testing, debugging, and feature enhancements.
  • Collaborate with software engineers to deliver scalable AI solutions.
  • Design and develop at least one AI agent or AI-enabled application feature
  • Implement and integrate APIs or AI services into an existing application
  • Produce technical documentation
Qualifications
  • Currently pursuing a Diploma or Bachelor's Degree in Computer Science, Software Engineering, Information Technology, Computer Engineering, Data Science, Artificial Intelligence, or a related field.
  • Basic understanding of software engineering principles, object‑oriented programming, and RESTful APIs.
  • Familiarity with cloud platforms (e.g. AWS), databases, or version control (Git) is an added advantage.
  • Exposure to Generative AI, Large Language Models (LLMs), or AI agent frameworks is a plus, but not required.
  • Strong analytical, problem-solving, and communication skills.
  • Self‑motivated, eager to learn new technologies, and able to work both independently and collaboratively in a team environment.
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