1. Bachelor degree or above with graduation between September 2026 and August 2027; 2. Preferred majors include Artificial Intelligence, Computer Science, Machine Learning, or other closely related quantitative disciplines; 3. Strong academic foundation in modern artificial intelligence, machine learning, and deep learning, with a demonstrated passion for frontier AI technologies; 4. Hands-on experience through AI-related research, internships, open-source contributions, or personal projects involving LLMs, multimodal AI, AI agents, or related technologies; 5. Strong analytical and problem-solving skills, with the ability to quickly understand new technologies and apply them to real-world business challenges; 6. Excellent communication and collaboration skills, with the ability to work effectively in a global and cross-functional environment; 7. Experience building AI applications using modern AI frameworks and tools, such as PyTorch, Hugging Face, LangChain, Semantic Kernel, AutoGen, MCP, or similar technologies, is preferred; 8. Strong curiosity and passion for exploring emerging technologies, with a track record of self-driven learning and experimentation; 9. Publications at top-tier conferences, research experience, patents, outstanding academic achievements, or experience in AI competitions, hackathons, open-source communities, or research collaborations are preferred; 10. Ability to bridge technical innovation with practical business needs and rapidly transform ideas into working prototypes is preferred. *Special reminder If applying for this position, please ensure that the attached resume includes an English version.   Interview Process: The first two rounds of interviews will be conducted online. Final-round candidates will be invited to Beijing for an onsite event, and travel expenses will be reimbursed.