AI Engineer [2026 Graduates]
Summary
Build and maintain AI infrastructure, deploy systems, and troubleshoot hardware/software issues while supporting cross-functional teams with technical expertise.
- A 2026 graduate with a bachelor’s degree or higher in Computer Science, Information Technology, Electronic Engineering, Telecommunications Engineering, or a related field.
- Proficient in Python and familiar with PyTorch, TensorFlow, or another mainstream deep learning framework.
- Good understanding of Linux administration, Docker, cloud computing, server hardware, data center infrastructure, networking fundamentals, and GPU architecture.
- Able to develop automation scripts using Python, Shell, or Bash.
- Proficient in English for international communication and technical documentation.
- Strong interest in AI infrastructure and cloud technologies, with fast learning and problem-solving abilities.
- Detail-oriented, customer-focused, and able to work effectively in multicultural teams.
Job Responsibilities
Infrastructure Operations & Maintenance
- Assist with the daily inspection, basic configuration, operational monitoring, and initial hardware fault diagnosis of compute nodes, servers, and network equipment to ensure stable system operations.
System Deployment & Implementation
- Support the technical team in setting up system environments, conducting software and hardware testing, deploying solutions, and preparing/updating technical documentation such as Standard Operating Procedures (SOPs) and operation & maintenance logs.
- Respond promptly to day-to-day technical issues, document incidents, perform initial troubleshooting and root cause analysis, and elevate complex issues while collaborating with senior engineers to resolve them.
Cross-Functional Technical Collaboration
- Serve as a technical liaison, working closely with the business development and delivery teams to provide pre-sales technical support, on-site assistance, and day-to-day responses to customer technical inquiries.