AI Tools Engineer - Build Internal AI Assistants (Remote)

Binance

Hong Kong

Remote

HKD 90,000 - 140,000

Part time

25 hours ago
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Benefits offered by this job

Remote-first
Competitive internship salary
Career growth opportunities

Job summary

Binance invites interns to work on AI that engineers use daily, building internal tools that speed up development and reduce blockers. You’ll contribute to AI-driven code generation, knowledge retrieval, and workflow automation through close collaboration with engineering teams.

Ideal candidates are pursuing a CS degree or have recently completed one, with proficiency in at least one language and familiarity with LLMs and APIs.

Qualifications

  • Currently pursuing or recently completed a degree in Computer Science or a related field.
  • Must be able to code in at least one language such as Python, Java, Go, or JavaScript.
  • Basic understanding of how LLMs work and experience with tools like ChatGPT or Copilot.
  • Comfortable with APIs and system integration.
  • You take initiative and don’t wait to be told what to do next.
  • Bilingual English/Mandarin required to coordinate with overseas partners.

Responsibilities

  • Build AI-powered internal tools and applications to accelerate developer work.
  • Develop LL M-powered code generation, understanding, and test automation features.
  • Collaborate with engineering teams to identify pain points and deliver AI-driven solutions.
  • Experiment with Prompt Engineering, RAG, and AI Agents.
  • Explore and adopt emerging AI technologies as they evolve.

Skills

Programming languages
LLM basics
API integration
Initiative
Bilingual English/Mandarin

Education

Computer Science degree or related field

Tools

APIs
ChatGPT/Copilot

Job description

Binance invites interns to work on AI that engineers use daily, building internal tools that speed up development and reduce blockers. You’ll contribute to AI-driven code generation, knowledge retrieval, and workflow automation through close collaboration with engineering teams.

Ideal candidates are pursuing a CS degree or have recently completed one, with proficiency in at least one language and familiarity with LLMs and APIs.

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