About the role

You work alongside our GPU infrastructure and LLMOps engineers on real customer projects, from installing systems and setting up monitoring to deploying and testing models, and see AI infrastructure across the full stack.

Responsibilities

Help install and configure Linux, drivers and containers on GPU servers.
Deploy and test open-weight models on vLLM in Kubernetes.
Write automation scripts in Python, Bash or Ansible.
Build monitoring dashboards with Prometheus and Grafana.
Run benchmarks and summarise latency and throughput results.
Document your work and write runbooks.

Requirements

A third- or fourth-year undergraduate or master's student in computer engineering, computer science or a related field.
Comfortable on the Linux command line.
Can write Python or Bash.
Understands networking and container basics.
Available full-time for your programme's internship period.

Nice to have

Has used Docker or Kubernetes in a project.
Has run an LLM locally or in the cloud.
A GitHub profile with projects.

Tools you will use

Linux
Python
Docker
Kubernetes
vLLM
Prometheus
Grafana
Ansible

Working at Zotect

Work across the full AI stack, from data centres, networks and GPUs to model serving.
Your work runs in production for customers in Thailand, Singapore and the USA.
Work closely with the CEO in an engineering-led team.
Our office is in the Gaysorn Building on Ploenchit Road, next to BTS Chit Lom.

How to apply

Send your CV and any portfolio links to hr@zotect.com with the role in the subject line.

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