AI Engineer [2026 Graduates]

Xingyun Group; Jakarta Utara; On-site; IDR 133,920,000 - 200,880,000; Full time

Job summary

Xingyun Group in Jakarta is seeking a proactive junior Infrastructure Operations Engineer to join our AI infra team. You will help manage compute nodes, servers, and network gear, and help deploy and test AI-ready environments.

You will work with business development and delivery teams, document SOPs, and assist with pre-sales technical support while learning quickly in a multicultural, cloud-focused environment.

Qualifications

• Bachelor’s degree in CS/IT/Engineering or related field.
• Proficient in Python; familiar with PyTorch/TensorFlow.
• Strong Linux admin, Docker, cloud, data center infra, networking, and GPU basics.
• Ability to develop automation scripts in Python/Shell/Bash.
• Proficient in English for international communication and documentation.
• Strong interest in AI infrastructure and cloud tech; fast learner and problem solving.
• Detail-oriented, customer-focused; able to work in multicultural teams.

Responsibilities

• Assist daily inspection, basic configuration, operational monitoring, and initial hardware fault diagnosis of compute nodes, servers, and network equipment to ensure stable system operations.
• Support the technical team in setting up system environments, conducting software and hardware testing, deploying solutions, and preparing/updating SOPs and operation & maintenance logs.
• Respond promptly to day-to-day technical issues, document incidents, perform initial troubleshooting and root cause analysis, and escalate complex issues while collaborating with senior engineers to resolve them.
• 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.

Skills

Python proficiency

Deep learning framework familiarity

Linux administration

Docker

Cloud computing

Shell/Bash scripting

English proficiency

AI infrastructure interest

Multicultural teamwork

Education

Bachelor’s degree in Computer Science/Information Technology/Electronic Engineering or related field

Tools

Python

PyTorch

TensorFlow

Linux

Docker

Cloud computing

Server hardware

Data center infrastructure

Networking fundamentals

GPU architecture

Shell

Job description

• 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 escalates 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.