AI IT Application Engineer

Top 3 Reasons To Join Us The Job Job Summary The AI & IT Application Engineer will support AI projects, IT-related application needs, system handover, validation, user support, and practical AI/IT adoption across the business. The role requires IT knowledge, AI application capability, data handling skills, and strong coordination with business users, IT, vendors, consultants, and management. Job Description Receive handover of AI/IT platforms from vendors or consultants, including source code, system logic, workflow, data structure, user guide, issue list, and technical documents Validate system outputs against business requirements and support UAT, testing, issue tracking, and bug-fixing coordination. Support platform operation after go-live, including performance monitoring, documentation, change logs, issue logs, and user feedback tracking. Join new AI projects from the early stage, including requirement clarification, data preparation, model/system testing, output validation, and final handover. Support AI price prediction / FOB decision projects by validating data logic, scenario outputs, and business usability of AI recommendations. Apply IT knowledge to support system workflow review, data flow, user access, basic troubleshooting, reporting tools, automation, and coordination with IT/vendors. Help business users apply approved AI and IT tools for reporting, data analysis, document review, summarization, automation, and decision support. Collect user pain points and convert them into practical AI/IT improvement ideas or project briefs; provide user guidance and training where needed. Your Skills and Experience Job requirements Bachelor degree in Information Technology, Computer Science, Data Analytics, Business Information Systems, Engineering, or related field. Good IT foundation: system workflow, database logic, data flow, user access control, basic troubleshooting, and application support. Good understanding of AI applications and ability to apply AI tools practically in business work. Strong Excel and data handling skills; able to work with reports, dashboards, databases, and structured data. Able to understand business processes and translate business needs into system logic, data requirements, or AI/IT solutions. Good communication skills; able to explain technical or AI-related issues in simple business language. Good coordination, documentation, follow-up, and problem-solving skills. Preferred Qualifications Experience in AI application, IT application support, data analytics, system implementation, business analysis, digital transformation, or process automation. Knowledge of Power BI, SQL, Python, workflow automation, low-code/no-code tools, or AI tools is an advantage. Experience in manufacturing, garment, costing, merchandising, planning, or operational data is preferred. Why You'll Love Working Here Opportunity to join the company's AI and digital transformation roadmap from the early stage. Exposure to real business AI projects, system implementation, and cross-functional process improvement. Salary and benefits will be discussed based on experience and company policy.