Senior AI Engineer
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Job Summary
This role will be the technical foundation builder for the companys AI transformation. You will design and build the company-wide knowledge infrastructure and context layer that powers future AI applications. This is a highly hands-on role requiring strong backend engineering capability LLM application experience product sense and the ability to operate independently in a fast-moving ambiguous environment.
- Design and build the company-wide AI knowledge infrastructure including company wiki internal knowledge base retrieval layer and context management system.
- Develop scalable LLM application architecture including RAG pipelines vector database integration prompt workflows API services monitoring and deployment.
- Own the end-to-end technical delivery of internal AI tools from backend architecture and basic frontend integration to deployment testing and monitoring.
- Work closely with business brand PR IR and leadership stakeholders to translate ambiguous business needs into practical AI systems and technical roadmaps.
- Optimize system performance including token efficiency latency caching strategy retrieval quality data architecture and model inference flow.
- Evaluate and integrate AI coding tools LLM frameworks vector databases and third-party APIs to improve development efficiency and product quality.
- Mentor junior engineers or interns when needed and help establish technical standards documentation practices and reusable engineering workflows.
- 47 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 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.
Required Experience:
Senior IC
About Company
Patsnap empowers IP and R&D teams with advanced AI to get better answers and make faster decisions. Increase IP productivity by 75% while reducing R&D wastage by 25%.
