Binance Accelerator Program - AI Productivity Engineer
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
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Assist in building AI tools such as coding assistants, automation scripts, and knowledge Q&A systems
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Support the development of LLM-based applications (e.g., prompt optimization, lightweight RAG pipelines)
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Contribute to initiatives that improve engineering efficiency and developer experience
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Help test, iterate, and document internal AI tools and platforms
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Research and experiment with emerging AI technologies and use cases
What We're Looking For
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Currently pursuing a Bachelor’s or Master’s degree in Computer Science or a related field
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Proficiency in at least one programming language (Python preferred)
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Strong fundamentals in programming and problem-solving
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Interest in AI, especially large language models (LLMs)
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Experience using tools like ChatGPT, Copilot, or similar
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Familiarity with basic software development workflows (e.g., Git, debugging)
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Good communication skills and willingness to learn
Bonus Points
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Experience with AI-related projects (e.g., chatbots, NLP, automation tools)
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Exposure to Prompt Engineering or AI-assisted development workflows
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Coursework or basic knowledge in machine learning or NLP
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Personal projects, technical blogs, or GitHub portfolio