Job Overview
Join our AI Engineering team to build next-generation LLM-powered applications that transform investment research and client advisory services. You'll develop end-to-end solutions integrating cutting-edge language models with production financial systems, directly impacting trillions in assets under management.
Key Responsibilities:
- Design and implement full-stack LLM applications using modern frameworks (React, , FastAPI, )
- Build and optimize RAG systems integrating proprietary financial data with vector databases (Qdrant, Chroma, FAISS)
- Develop LLM workflows using frameworks like LangGraph for document analysis, sentiment analysis, and investment research automation
- Collaborate with portfolio managers and research analysts to translate business requirements into technical solutions
- Implement model monitoring, A/B testing, and performance optimization for production LLM systems
- Build APIs and microservices integrating with Bloomberg, Refinitiv, and alternative data providers
Required Qualifications:
- Master's degree in Computer Science, Engineering, or related quantitative field
- Experience in full-stack development with Python, JavaScript/TypeScript
- Strong experience with LLM frameworks: Hugging Face Transformers, OpenAI API
- Proven track record building production ML/AI applications with modern web frameworks
- Expertise with containerization (Docker, Kubernetes)
- Database proficiency including SQL and vector databases for embedding storage
- Experience with Git, CI/CD pipelines, and agile development practices
Technical Skills
- Programming:
Python, JavaScript/TypeScript, SQL, HTML/CSS - AI/ML:
PyTorch, TensorFlow, scikit-learn, LangChain, Hugging Face - Frontend:
React, , , modern CSS frameworks - Backend:
FastAPI, , Django, Flask, RESTful APIs - DevOps:
Docker, Kubernetes, Git, CI/CD, monitoring tools
Location
•Beijing
Application
- Interested candidates may click to create your candidate profile.
- Or send CV in both Chinese and English version to , please indicate "Position - School Name - Major - Name" in the email title. For example: LLM Application
- UCB Finance - Bruce Lee