Senior AI Engineer
Qube Research & Technologies2 months ago
Hong Kong, Hong KongSenior
Responsibilities
- Build and maintain AI-powered applications, assistants, and agentic workflows.
- Develop integrations between AI systems and internal tools, repositories, databases, and knowledge sources.
- Design and implement AI agents that interact with enterprise systems and APIs.
- Evaluate new AI models, frameworks, platforms, and tooling, including coding assistants.
- Partner with researchers, engineers, and business teams to identify high-value AI use cases.
- Contribute to AI development standards and best practices across the HFT business.
- Drive projects independently from conception through production and deliver measurable business value.
Requirements
- Strong software engineering experience in Python.
- Experience building and operating production systems.
- Excellent design, debugging, and problem-solving skills.
- Experience with modern AI platforms, large language models, and AI tooling.
- Strong understanding of APIs, distributed systems, and software architecture.
- Experience building AI agents or agentic workflows.
- Experience evaluating AI systems and coding assistants.
- Familiarity with MCPs, tool-use frameworks, or related technologies.
- Experience with quantitative research, trading technology, or financial markets is preferred.
Benefits
- Equal opportunity workplace with an emphasis on diversity and respectful collaboration.
- Initiatives and programs supporting employee work-life balance.
Tech Stack
Categories
About Qube Research & Technologies
Qube Research & Technologies is a global quantitative and systematic investment manager that develops and trades data-driven strategies across liquid asset classes for institutional investors. The firm manages client capital and proprietary funds, earning management and performance fees. Founded in 2018 and headquartered in London, it operates with offices in 16 locations worldwide.