INTERNSHIP DETAILS

Internship - Data, AI & Audience Insights

CompanyStarHub Ltd
LocationSingapore
Work ModeOn Site
PostedAugust 12, 2026
Internship Information
Core Responsibilities
The intern will design and develop AI-powered applications and agentic workflows to improve enterprise business processes. They will also collaborate with the engineering team to integrate AI models, perform testing, and document technical designs.
Internship Type
full time
Company Size
2867
Visa Sponsorship
No
Language
English
Working Hours
40 hours
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About The Company
StarHub is a leading homegrown Singapore company that connects people, businesses and communities to the possibilities of the digital world. We deliver world-class communications, entertainment, and digital services through our fibre and wireless infrastructure, global partnerships and digital capabilities. For enterprises and government customers, we help accelerate digital transformation through connectivity, cloud, cybersecurity, AI, data and managed services. StarHub is committed to conducting its business sustainably, responsibly and with purpose. The company is recognised as a Champion of Good, the highest tier under Singapore’s Company of Good Recognition System, reflecting its commitment to creating positive social impact. It is also named among TIME’s World’s Most Sustainable Companies 2025, ranked as the world’s most sustainable wireless telecommunication provider on the Corporate Knights Global 100 (2025), and ranks 181 on the FORTUNE Southeast Asia 500 in 2026. Listed on the Singapore Exchange mainboard, StarHub is a component of the SGX iEdge Singapore Low Carbon Index, iEdge-OCBC Singapore Low Carbon Select 50 Capped Index and the FTSE4Good Index series. Visit www.starhub.com for more information.
About the Role

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.

 

Deliverables:

  • 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.
  • Strong foundation in programming concepts, with proficiency in Python. Knowledge of JavaScript, HTML, and CSS is an advantage.
  • 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.
Key Skills
PythonGenerative AILarge Language ModelsAI AgentsSoftware EngineeringCloud DevelopmentRESTful APIsJavaScriptHTMLCSSGitAWSData ScienceArtificial IntelligenceProblem-solvingCommunication
Categories
TechnologySoftwareData & AnalyticsEngineering