AI LLM Development Engineer

Core Responsibilities:

• Architecture & Development: Lead or participate in the design and development of AI Large Language Model (LLM) applications, AI Agents, internal tooling platforms, and related infrastructure services.
• Quant Data Infrastructure: Build and maintain a quantitative data center. This involves managing fundamental and technical data, as well as processing unstructured data such as financial reports, news, research papers, and social media text using NLP techniques.
• Efficiency Tools: Develop automation tools for the quantitative strategy research workflow to enhance the efficiency of strategy development and backtesting.

Requirements:

• Technical Proficiency: Master of Python; familiar with common development frameworks with a strong ability to write high-quality, scalable code.
• Database Skills: Proficient in relational databases (MySQL/PostgreSQL) and NoSQL technologies (Redis/MongoDB).
• Quant Ec...