Binance Accelerator Program - AI Productivity Engineer

Confirmed live in the last 24 hours

Binance

Asia

On-site

Posted January 22, 2026

Job Description

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.

About Binance Accelerator Program

Binance Accelerator Program is a concise fixed-term program designed for Early Career Talent to have an immersive experience in the rapidly expanding Web3 space. You will be given the opportunity to experience life at Binance and understand what goes on behind the scenes of the worlds’ leading blockchain ecosystem. Alongside your job, there will also be a focus on networking and development, which will expand your professional network and build transferable skills to propel you forward in your career. Learn about BAP Program HERE

Who may apply

Current university students and recent graduates

About the Role

This position is for students who are excited about applying AI to improve how software is built. You will work on real-world projects that explore how large language models and AI tools can enhance developer productivity and engineering workflows.

You’ll gain hands-on experience building AI-powered tools and contributing to a growing internal AI platform.

What You Will Do

Assist in building AI tools such as coding assistants, automation scripts, and knowledge Q&A systems
Support the development of LLM-based applications (e.g., prompt optimization, lightweight RAG pipelines)
Contribute to initiatives that improve engineering efficiency and developer experience
Help test, iterate, and document internal AI tools and platforms
Research and experiment with emerging AI technologies and use cases

What We're Looking For

Currently pursuing a Bachelor’s or Master’s degree in Computer Science or a related field
Proficiency in at least one programming language (Python preferred)
Strong fundamentals in programming and problem-solving
Interest in AI, especially large language models (LLMs)
Experience using tools like ChatGPT, Copilot, or similar
Familiarity with basic software development workflows (e.g., Git, debugging)
Good communication skills and willingness to learn