AI Automation Engineer: Workflow & AI Solutions

IPENET Solutions Sdn Bhd

Penang

On-site

MYR 72,000 - 120,000

Full time

7 days ago
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Job summary

IPENET Solutions Sdn Bhd is expanding its AI capabilities to design and implement AI-driven workflows and automation for enterprise systems in Malaysia. You will work with internal teams and customers to translate business needs into practical AI solutions, building AI agents and PoCs while integrating with existing databases and APIs.

The role emphasizes hands-on development in Python, API integration, Generative AI/LLMs, and ongoing optimization of deployed AI solutions, with opportunities for

Qualifications

  • Bachelor's Degree in Computer Science, Artificial Intelligence, Data Science, Software Engineering, Electrical & Electronic Engineering or related fields.

Responsibilities

  • Identify business processes suitable for AI and automation aligned with business needs.
  • Design and develop AI-powered workflows, applications and AI agents.
  • Integrate AI solutions with existing systems, databases and APIs.
  • Develop and test automation solutions using Python, APIs, Generative AI and LLMs.
  • Build Proof of Concepts (POCs) for new AI use cases and business requirements.
  • Troubleshoot, optimise and continuously improve deployed AI solutions.
  • Work with internal teams and customers to translate business needs into practical AI solutions.
  • Prepare technical documentation, process flows and user guides.

Skills

Python
APIs
SQL/databases
Generative AI/LLMs
Workflow automation
Data processing
Software development
Analytical thinking
Communication
Learning ability

Education

Bachelor's Degree in CS/AI/Data Science/Software Eng/EE or related fields

Tools

APIs
Generative AI platforms

Job description

IPENET Solutions Sdn Bhd is expanding its AI capabilities to design and implement AI-driven workflows and automation for enterprise systems in Malaysia. You will work with internal teams and customers to translate business needs into practical AI solutions, building AI agents and PoCs while integrating with existing databases and APIs.

The role emphasizes hands-on development in Python, API integration, Generative AI/LLMs, and ongoing optimization of deployed AI solutions, with opportunities for

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