Hands-on AI Engineer Intern - Real-World Platform

NCS

Singapore

On-site

SGD 20,000 - 27,000

Full time

3 days ago
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Job summary

NCS is seeking an AI Engineer Intern in Singapore to contribute to an enterprise-grade AI platform. Youll work with AI Engineers on real components like model routing, cost tooling, guardrails, and deployment automation, gaining hands-on experience in a live system.

This internship emphasizes practical learning, exposure to AI architectures, responsible-AI practices, and observable engineering workflows. Youll grow technical skills while delivering tangible results for enterprise customers.

Qualifications

  • Basic understanding of AI/ML concepts (e.g. LLMs, APIs) or strong willingness to learn.
  • Strong analytical and problem-solving skills.
  • Ability to work collaboratively with cross-functional engineering teams.
  • Familiarity with version control (e.g. Git), basic software engineering practices, and observability tooling (OpenTelemetry/OTel) is a plus.
  • Ideal for building hands-on AI engineering experience on a real enterprise AI platform.

Responsibilities

  • Write and debug code under supervision, primarily Python.
  • Understand core AI/ML concepts used on the platform.
  • Assist with testing, bug fixes, and small feature work.
  • Learn and use the team’s tools and systems.
  • Build confidence and independence over the internship.
  • Complete clearly scoped tasks and communicate progress.
  • Break down larger work into smaller tasks.
  • Document what you’ve built for review.
  • Work within agreed timelines.

Skills

Python programming
Analytical thinking
Team collaboration
Learning mindset

Tools

Git
OpenTelemetry/OTel

Job description

NCS is seeking an AI Engineer Intern in Singapore to contribute to an enterprise-grade AI platform. Youll work with AI Engineers on real components like model routing, cost tooling, guardrails, and deployment automation, gaining hands-on experience in a live system.

This internship emphasizes practical learning, exposure to AI architectures, responsible-AI practices, and observable engineering workflows. Youll grow technical skills while delivering tangible results for enterprise customers.

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