MS Capital is a private fund management company with a strong founding team with long-accumulated experience in strategy modelling, trading system and platform development. Using advanced artificial intelligence technology as the cornerstone, and enforcing strict investment management, the company's investment fund has gained sustained and stable returns.

We are looking for a highly skilled AI Engineer with expertise in with deep technical expertise and practical understanding of agentic systems, LLM integration, and applied AI workflows in financial environments. The candidate will play a key role in designing and deploying intelligent agent applications that support trading, research, and operational automation across the hedge fund platform.

Key Responsibilities:

• Build agents and complex workflows based on LLM for applications in quantitative finance
• Design specialized agents for diverse financial datasets(e.g., equities, derivatives, macroeconomic indicators) and strategies to enable end-to-end automation from data ingestion to signal generation
• Evaluate the performance of financial AI model agents using statistical metrics, backtesting, etc.
• Collaborate with quantitative researchers and data scientists to integrate multi-scenario financial AI models into research and trading platforms

Required Qualifications:

• Degree in Computer Science, Engineering, Machine Learning, Artificial Intelligence or related field.
• Strong proficiency in Python programming and familiarity with various AI libraries
• Experience with RAG, multi-agent frameworks, or workflow orchestration systems.
• Familiarity with quantitative trading systems, financial data APIs, and backtesting frameworks.