AI Intelligence Efficiency Engineer Intern

Responsibilities 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 Requirements 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 Nice to Have 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