Pioneer AI Seed: Full-Stack Engineer (Remote)

Binance

Hong Kong

On-site

HKD 420,000 - 560,000

Full time

14 days+

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Job summary

Binance is seeking Full Stack Engineers to act as AI-augmented seeds across product teams. You will lead end-to-end development spanning frontend and backend and drive AI tooling adoption to boost efficiency.

You will translate requirements into concrete implementations, mentor peers, and help scale AI-augmented development across the organization. A strong backend and frontend foundation is essential.

Qualifications

  • Bachelor's degree or above; Computer Science or AI-related major preferred.
  • 1–5 years of professional experience.
  • Solid foundation in at least one backend language: Java or Golang.
  • Proficiency in Node.js and React.
  • Experience owning end-to-end projects in production.
  • Familiarity with database design, data modeling, and core backend concepts.
  • Familiarity with AI coding tools (Cursor, Copilot, Claude Code).

Responsibilities

  • Own end-to-end development of product features spanning frontend and backend.
  • Integrate AI coding tools as a core part of daily workflow to maximize efficiency.
  • Translate product requirements into working implementations with minimal handoff friction.
  • Act as a full stack seed within the team — mentor peers and scale AI-augmented development.
  • Identify efficiency bottlenecks in cross-team collaboration and propose improvements.
  • Contribute to the full product lifecycle — from ideation and design to deployment and iteration.

Skills

Java
Golang
Node.js
React
End-to-end ownership
AI tooling usage
Product mindset

Education

Bachelor's degree in Computer Science or AI-related field

Tools

Kafka
RabbitMQ

Job description

Binance is seeking Full Stack Engineers to act as AI-augmented seeds across product teams. You will lead end-to-end development spanning frontend and backend and drive AI tooling adoption to boost efficiency.

You will translate requirements into concrete implementations, mentor peers, and help scale AI-augmented development across the organization. A strong backend and frontend foundation is essential.

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