Save application

Binance

2 days ago

Binance Accelerator Program - Applied AI Agent Engineer (Top Talent Program)

Remote · Australia; Hong Kong; Malaysia; New Zealand; Singapore; Taiwan Australia; Hong Kong; Malaysia; New Zealand; Singapore; Taiwan

pythonjavablockchain fiat tech

greenhouse

Match & cover letter

Create a profile to see your match and get a cover letter for this role.

Create profile and match

Source: greenhouse Verified source

Never pay or share passwords or codes with an employer. How to spot a fake job

AI TL;DR

Join Binance as an Applied AI Agent Engineer intern, where you'll work on AI workflows and backend services. This role offers hands-on experience in building practical AI systems alongside experienced engineers.

AI match

Clear role · 80/100 against the market band on this page.

Interview prep for this job

  1. What would you ship in the first month as Binance Accelerator Program - Applied AI Agent Engineer (Top Talent Program) at Binance?
  2. Which tradeoff in the description would you ask about first?
  3. How do you explain a production incident to this team?
  4. What would you measure in the first two weeks?
  5. Which part of your last project maps to this stack?

Five questions are free. The rest are Pro. See Pro

Similar roles

Job description

Join Binance as an Applied AI Agent Engineer intern, where you'll work on AI workflows and backend services. This role offers hands-on experience in building practical AI systems alongside experienced engineers.

Details

  • Location: APAC; Australia; Hong Kong; Malaysia; New Zealand; Singapore; Taiwan
  • Salary: Competitive
  • Experience: Current University students and recent Graduates
  • Skills: Python, Java, backend engineering preferred

The work

  • Support the design and development of AI agent workflows and LLM-powered application components
  • Build and test prompt strategies, retrieval flows, and backend integrations
  • Assist in defining evaluation metrics and analyzing failure cases
  • Collaborate with engineers to understand production AI systems