AI R&D Intern: Build Next-Gen Model Routing & Infra

A-Field Tech

Hong Kong

Hybrid

HKD 89,000 - 134,000

Full time

4 days ago
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Job summary

NexLLM, a Hong Kong-based AI infrastructure company, seeks a University student for a full-time AI R&D Engineering Intern role. You will work with the founder and engineering team on real AI infrastructure projects, prototyping, evaluation, and product improvements for a live platform with multiple model providers.

Learn model routing, evaluation, and API integrations while contributing to production-ready work.

Qualifications

  • Current university enrolment in computer science, software engineering, AI, ML, data science, math, or related field.
  • Strong interest in AI models, software engineering, or developer infrastructure.
  • Basic programming experience in Python, TypeScript, JavaScript, Go, Java, C++, or a similar language.
  • Familiarity with APIs, Git, databases, or cloud services.
  • Ability to break unclear problems into smaller steps.
  • Willingness to test assumptions and measure results.

Responsibilities

  • Researching and prototyping model-routing strategies.
  • Comparing models across quality, cost, latency, availability, and reliability.
  • Building benchmark datasets and reproducible evaluation tools.
  • Developing fallback, retry, timeout, caching, and quota-management features.
  • Investigating provider errors, rate limits, response formats, and performance changes.
  • Integrating new model providers and standardising their APIs.
  • Building scripts, dashboards, data pipelines, and internal developer tools.
  • Turning validated experiments into well-tested product features.

Skills

University student
Python
TypeScript
Go
JavaScript
Java
C++
APIs
Git
Databases
Cloud services

Education

Current university enrolment in CS/SE/AI

Tools

Git
Databases
Cloud services
APIs

Job description

NexLLM, a Hong Kong-based AI infrastructure company, seeks a University student for a full-time AI R&D Engineering Intern role. You will work with the founder and engineering team on real AI infrastructure projects, prototyping, evaluation, and product improvements for a live platform with multiple model providers.

Learn model routing, evaluation, and API integrations while contributing to production-ready work.

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