AI Intern: Build Intelligent Agents for IT Support

Acestar Sdn Bhd

Kuala Lumpur

On-site

MYR 17,000 - 23,000

Full time

4 days ago
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Job summary

Acestar Sdn Bhd is seeking a talented AI Intern to join our dynamic team in a full-time capacity. This role focuses on Information & Communication Technology, with emphasis on Help Desk & IT Support.

You will work on creating and deploying intelligent agents, optimizing workflows, and collaborating with cross-functional teams to improve performance and documentation. A strong foundation in Python and familiarity with agent frameworks is essential.

Qualifications

  • Pursuing a Computer Science degree with strong problem-solving abilities.
  • Strong analytical and troubleshooting skills.
  • Excellent communication and interaction with end-users.

Responsibilities

  • Proficiency in Python and familiarity with agent frameworks or libraries.
  • Assist in creating, training, and deploying intelligent agents.
  • Design, refine, and test prompting strategies to drive intelligent agent interactions.
  • Integrate agents into existing systems and optimize end-to-end workflows.
  • Work with cross-functional teams to improve agent performance and documentation.
  • Strong understanding of API integration, system architecture, and data flow in agent-based systems.
  • Analyze data, debug complex issues, and optimize workflows.
  • Eager to learn and pursue new challenges in emerging technologies.
  • Perform additional tasks as assigned by the supervisor.

Skills

Python
Agent frameworks

Education

Pursuing BSc/BA in Computer Science or related field

Job description

Acestar Sdn Bhd is seeking a talented AI Intern to join our dynamic team in a full-time capacity. This role focuses on Information & Communication Technology, with emphasis on Help Desk & IT Support.

You will work on creating and deploying intelligent agents, optimizing workflows, and collaborating with cross-functional teams to improve performance and documentation. A strong foundation in Python and familiarity with agent frameworks is essential.

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