- Location
- Hong Kong, Hong Kong, Hong Kong · published · Shenzhen, Guangdong Province, China
- Type
- Full-time
- Department
- Engineering
- Source
- Workable
Description
About Us
The Futu AI team is dedicated to deeply applying artificial intelligence to financial investment and enterprise productivity scenarios. Our scope covers investment agents, intelligent search, recommendation, growth, financial analysis, AI customer service, AIGC, AI-native R&D tools, as well as a unified AI platform and infrastructure.
You will have the opportunity to participate in the intelligent upgrade of products such as Futubull and moomoo, and to contribute to the company-wide Agent platform and shared AI capabilities—enabling AI to directly improve users' investment experience, create business value, and boost organizational productivity.
Why This Role
- Real, core scenarios: Work on investment agents, intelligent search, personalized recommendation, financial analysis, and enterprise AI applications, where algorithm performance can be validated quickly in real business.
- Full technical stack: Cover model training and optimization, Agent/RAG, search and recommendation, model evaluation, and AI platform capability building.
- Technology and business in equal measure: Collaborate with product, operations, and engineering teams to translate cutting-edge technology into user experience and business results.
- Multi-directional growth: Based on your strengths, contribute to one or more areas such as large models, agents, search and recommendation, financial algorithms, or the AI platform.
Key Responsibilities
- Core algorithm R&D and optimization: Participate in technical R&D in areas such as large language models, agents, RAG, multimodal, search and recommendation, and financial algorithms; carry out high-quality data construction, model training and post-training, evaluation analysis, and performance optimization.
- AI scenario implementation and business enablement: Drive the implementation of AI technology in scenarios such as investment agents, intelligent search, personalized recommendation, financial analysis, AI customer service, AIGC, and R&D efficiency improvement. Work with product, engineering, and quantitative teams to complete the full loop from requirements analysis and solution design to launch and validation.
- AI platform and capability accumulation: Participate in building the Agent platform, the Skill/MCP ecosystem, knowledge bases, model services, and automated evaluation systems; drive the modularization, servitization, and large-scale reuse of algorithm capabilities.