Binance Accelerator Program - AI Intelligence Efficiency Engineer

Posted 2 Days Ago
Be an Early Applicant
17 Locations
In-Office or Remote
Entry level
Blockchain • Fintech • Software • Cryptocurrency • Metaverse
The Role
Support development of internal LLM-based tools (coding assistants, RAG pipelines, prompt optimization), improve engineering efficiency, test and document AI tools, and research emerging AI technologies.
Summary Generated by Built In

    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
     

Skills Required

  • Currently pursuing a Bachelor's or Master's degree in Computer Science or 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
  • Experience with AI-related projects (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
Am I A Good Fit?
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