AI Engineer Intern: GenAI & Automation

Maxis

Kuala Lumpur

On-site

MYR 17,000 - 30,000

Part time

4 days ago
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Job summary

Maxis in Kuala Lumpur invites you to join as an AI Engineer Intern to gain hands-on experience supporting enterprise AI, GenAI and automation, collaborating with engineers, product owners and cross-functional teams to deliver digital solutions.

You'll work on AI agents, GenAI initiatives, automation, Salesforce/RPA enhancements, data quality checks, and sprint-ready documentation, with a pathway to deeper deployment and learning in a dynamic tech-driven environment.

Qualifications

  • Currently pursuing or recently completed degree in Computer Science, Engineering, IT, Data Science or related field.
  • Basic understanding of programming concepts (e.g. Python, JavaScript).
  • Strong interest in AI, Generative AI, automation, or digital transformation.
  • Analytical thinking and problem-solving skills.
  • Good communication skills and willingness to learn.

Responsibilities

  • Assist in building and configuring AI agents to support internal productivity and business use cases.
  • Support GenAI initiatives including prompt engineering, workflow integration, and experimentation with LLM-based solutions.
  • Help design, implement, and document business process automations using low-code/no-code platforms and RPA tools.
  • Collaborate on Salesforce and automation platform enhancements; assist in testing and troubleshooting.
  • Perform basic data analysis, testing, and validation to ensure solution accuracy and reliability.
  • Participate in solution design discussions, sprint activities, and technical documentation.

Skills

Python
JavaScript
AI
Data analysis
Communication

Education

Currently pursuing or recently completed degree in Computer Science, Engineering, IT, Data Science

Tools

Salesforce
RPA platforms
Low-code/no-code

Job description

Maxis in Kuala Lumpur invites you to join as an AI Engineer Intern to gain hands-on experience supporting enterprise AI, GenAI and automation, collaborating with engineers, product owners and cross-functional teams to deliver digital solutions.

You'll work on AI agents, GenAI initiatives, automation, Salesforce/RPA enhancements, data quality checks, and sprint-ready documentation, with a pathway to deeper deployment and learning in a dynamic tech-driven environment.

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