Binance Accelerator Program - AI Productivity Engineer

    Asia && Hong Kong && Taiwan, Taipei
    Full-Time
    Mid (3-6 yrs)
    Engineering & Development
    Posted on January 22, 2026

    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


    Bonus Points

    • Experience with AI-related projects (e.g., chatbots, NLP, automation tools)

    • Exposure to Prompt Engineering or AI-assisted development workflows

    • Coursework or basic knowledge in machine learning or NLP

    • Personal projects, technical blogs, or GitHub portfolio

    Company:  Binance

    Operates the world's largest cryptocurrency exchange, offering trading, staking, and blockchain ecosystem services to 270M+ users globally.
    5001-10000 employees
    Finance & Fintech
    HQ: None (Global)