Binance Accelerator Program - AI Productivity Engineer

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 t