Senior AI Engineer

4–7 years of backend engineering experience, with at least 2 years of hands-on LLM application development experience.

Strong backend development skills in Python; experience with Node.js or Go is a plus.

Solid computer science fundamentals, including algorithms, system design, database design, API architecture, distributed systems, caching, and performance optimization.

Production-level LLM application experience, not limited to demos or prototypes. Experience should include prompt engineering at scale, model selection, inference pipeline design, or RAG architecture.

Hands-on experience with RAG and vector databases such as Pinecone, Weaviate, Chroma, or similar tools.

Experience owning full engineering delivery, including backend services, basic frontend integration, API deployment, monitoring, and troubleshooting.

Heavy user of AI coding tools such as Cursor, Claude Code, GitHub Copilot, or similar tools.

Mandarin fluency is required; English working proficiency is required.

Able to work independently under ambiguous instructions and make sound technical decisions without waiting for detailed specifications.