Full Stack Engineer (AI)

About the Role

As AI profoundly transforms how engineering teams work, we are looking for Full Stack Engineers to serve as "seeds" across our product teams. You will be among the first dedicated full stack engineers, helping the organization establish a highly autonomous, AI-augmented, end-to-end development model.

Binance is a leading global blockchain ecosystem behind the world’s largest cryptocurrency exchange by trading volume and registered users. We are trusted by 300+ million people in 100+ countries for our industry-leading security, user fund transparency, trading engine speed, deep liquidity, and an unmatched portfolio of digital-asset products. Binance offerings range from trading and finance to education, research, payments, institutional services, Web3 features, and more. We leverage the power of digital assets and blockchain to build an inclusive financial ecosystem to advance the freedom of money and improve financial access for people around the world. Why Binance • Shape the future with the world’s leading blockchain ecosystem • Collaborate with world-class talent in a user-centric global organization with a flat structure • Tackle unique, fast-paced projects with autonomy in an innovative environment • Thrive in a results-driven workplace with opportunities for career growth and continuous learning • Competitive salary and company benefits • Work-from-home arrangement (the arrangement may vary depending on the work nature of the business team) Binance is committed to being an equal opportunity employer. We believe that having a diverse workforce is fundamental to our success. By submitting a job application, you confirm that you have read and agree to our Candidate Privacy Notice.

Responsibilities

Own end-to-end development of product features spanning frontend and backend

Integrate mainstream AI coding tools (e.g., Cursor, Copilot, Claude Code) as a core part of your daily workflow to maximize development efficiency

Translate product requirements into working implementations with minimal handoff friction between frontend and backend

Act as a full stack "seed" within your team — champion full stack practices, mentor peers, and help scale AI-augmented development across the organization

Proactively identify efficiency bottlenecks in cross-team collaboration and propose improvements to product, design, and engineering processes

Contribute to the full product lifecycle — from ideation and design to deployment and iteration

Requirements

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 — not just personal side projects

Familiarity with database design, data modeling, and core backend concepts

Highly proficient with mainstream AI coding tools (Cursor, Copilot, Claude Code, or similar)

Ability to clearly articulate requirements and constraints to AI tools; strong enough fundamentals to review, validate, and correct AI-generated code

Self-driven and boundaryless — you don't wait for tasks to be assigned; you proactively identify what needs to be done

Product and operational mindset — you can turn vague ideas into clear specs

Curious observer — you pay attention to how other teams work and actively suggest improvements

Strong logical thinking and communication skills; passionate about learning new technologies

1. Strong React engineering depth, with clear judgment on component architecture, reuse boundaries, and state management strategies
2. Familiarity with modern frontend engineering infrastructure, including build tooling, TypeScript type engineering, and automated testing
3. Solid grasp of rendering strategies and performance systems, including critical path optimization, render frame budgeting, and performance monitoring attribution

If you come from a backend background, we hope you:

1. Familiar with high-concurrency programming, with a solid understanding of threading models, locking mechanisms, and asynchronous programming
2. Experience with message queues (Kafka/RabbitMQ), with an understanding of asynchronous decoupling and eventual consistency
3. Understanding of distributed systems fundamentals, including service discovery, circuit breaking, rate limiting, and load balancing