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. Binance is trusted by more than 320 million people in 100+ countries for its industry-leading security, transparency, trading engine speed, protections for investors, and unmatched portfolio of digital asset products and offerings from trading and finance to education, research, social good, payments, institutional services, and Web3 features. Binance is devoted to building an inclusive crypto ecosystem to increase the freedom of money and financial access for people around the world with crypto as the fundamental means. About Binance Accelerator Program Binance Accelerator Program (BAP) is a 3-6 month internship program designed for Early Career talent to have firsthand experience in the rapidly expanding digital assets space. You will be given the opportunity to develop your skills at Binance and understand what it’s like to work at the world's leading blockchain ecosystem. As part of your internship in the BAP, there will also be opportunities for networking and development, which will expand your professional network and build transferable skills to propel you forward in your career. Learn about the BAP Program HERE. Who may apply Current university students and recent graduates. *Terms of employment / engagement shall be subject to contract and local applicable laws 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