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Nus Enterprise

Applied AI Engineer, Product Intern

  • Seen live on Nus Enterprise's site today
  • Intern / co-op
Pay
Not stated
Location
Singapore, Singapore, Singapore
Open for
10+ days
First seen
Oct 25, 2026
Apply on Nus Enterprise's site (opens in a new tab)

Posting record

No flags

Open 10+ days

The posting's record, oldest first
  1. Nus Enterprise's site dates the posting
  2. Ghostless first sees this listing
  3. Last checked: still up
How we know

It hasn't been reposted, listed twice, or left up unusually long, and the posting doesn't say it's a talent pool.

Ghostless records the day it first sees a posting, so a repost can't reset its age. This one was already up when Ghostless started tracking Nus Enterprise, so its true age is longer.

Last checked Nov 4, 2026.

How well do you match?

See how much of this posting your resume shows, and what it's missing.

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What the posting discloses

Not stated: Pay, real vacancy, AI screening.

Why these three

Ontario requires postings from employers with 25 or more staff to state the pay, whether the vacancy exists, and whether AI screens applicants.

Some employers add pay only on their own site. Check the original posting before you rule it out.

Skills mentioned

About the role

NUSX Labs is NUSX's technical arm, turning NUS research into inventions, patents, and licensed deals. We're a small, hands-on team building the internal software that runs this work: review interfaces for our data pipelines, a deal-signal app for the investment team, service health monitoring, and automations. You'll build these end to end, AI in the loop, on our own infrastructure, and ship real tools colleagues use within six months. You'll be supervised directly by an engineer on the team, with real stakeholder-facing projects and deployment experience.

Roles and Responsibilities

  • Build a data-review application: an interface for the team to search, review, and correct a catalog of hundreds of fields captured from a legacy system.
  • Build a deal-signal application for the investment team to surface early-stage, NUS-linked founder signals for analyst triage.
  • Extend the service status page to cover additional applications and workflows, consolidating outage visibility.
  • Contribute to Evo, our in-house build of the patent and IP-management platform, across its intake, lifecycle, and dashboard workstreams.
  • Develop agents and automations that connect internal systems, using Claude or Antigravity for the judgment step, and write tests to ensure reliability.
  • Scope may extend beyond the responsibilities listed above.

Requirements

  • Demonstrated experience building and shipping a project (personal, academic, or hackathon) to completion.
  • Proficiency in a modern programming language (JavaScript/TypeScript or Python).
  • Working knowledge of full-stack development: a modern frontend framework (e.g. React), a backend/API layer, and basic SQL.
  • Familiarity with version control (git) and software testing practices.
  • Experience calling LLM APIs, building agents, or working with RAG.
  • Willingness to learn domain knowledge (e.g. patents).
  • Willingness to use AI tools (Claude, Antigravity) daily.
  • Nice to have: basic cloud experience (GCP/AWS); CI/CD; comfortable reading and working in English and Chinese.

Please be informed that only shortlisted candidates will be notified.

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