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.
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
Binance Singapore, Singapore, SGP Office
Singapore, Singapore
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The digital revolution has driven a constant demand for tech professionals across industries like software development, data analytics and cybersecurity. In Singapore, one of the largest cities in Southeast Asia, the demand for tech talent is so high that the government continues to invest millions into programs designed to develop a talent pipeline directly from universities while also scaling efforts in pre-employment training and mid-career upskilling to expand and elevate its workforce.
