Participate in end-to-end development of AI products from 0→1, covering frontend interfaces, backend services, LLM integrations, and AI agent orchestration.

Build AI applications powered by LLMs with capabilities such as:

• RAG (Retrieval-Augmented Generation)
• Function Calling
• Multi-Agent Orchestration
• Integrate on-chain data, DeFi protocols, and digital asset business logic.

Design and optimize:

• Context window management strategies
• Embedding and retrieval systems

Ensure production-grade stability and accuracy of AI agents.

• Conduct frontier AI and competitor research: track the latest LLM capabilities, APIs, MCP protocols, and emerging AI infrastructure, evaluate technical maturity, and drive adoption into products.

• Graduating in 2027 or 2028 (all majors welcome)
• ...