Senior AI Engineer

Tribus; Hong Kong; On-site; HKD 900,000 - 1,500,000; Full time

Job summary

Tribus in Hong Kong is building AI-powered tools for its highfrequency trading ecosystem. You will design and ship AI agents and platforms that integrate into internal repositories, databases, trading systems, and research infrastructure.

This is a production‑oriented engineering role rather than a standalone research position. You’ll operate with autonomy, evaluate models and frameworks, identify where AI moves the needle, and own delivery from first prototype to production, delivering

Qualifications

• Strong software engineering background in Python.
• Track record building and operating production systems.
• Hands-on experience with modern AI platforms, LLMs, and AI tooling.
• Solid understanding of APIs, distributed systems, and software architecture.
• Demonstrated ability to independently drive projects from concept to production.
• Experience building AI agents or agentic workflows.
• Experience evaluating AI systems and coding assistants.
• Familiarity with MCPs, tool-use frameworks, or related technologies.
• Exposure to quantitative research, trading technology, or financial markets is a plus.

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 capable of interacting with enterprise systems and APIs.
• Evaluate emerging models, frameworks, and AI tooling on their merits.
• Partner with researchers, engineers, and business stakeholders to identify high-value use cases.
• Help set standards and best practices for AI development across the HFT business.

Skills

Python

Production systems

Debugging

AI tooling

APIs

Distributed systems

Agent workflows

Tools

LLMs

AI platforms

APIs

Job description

About the Company

A global quantitative and systematic investment manager operating across all liquid asset classes. The firm takes a research-led, scientific approach to markets - combining data, technology, and trading expertise to solve genuinely hard problems at scale. Its High-Frequency Trading business is now investing seriously in AI as a lever across research, engineering, and trading operations.

About the Role

This is a build-from-the-ground-up mandate. You'll design and ship AI-powered tools, agents, and platforms that integrate directly into the firm's internal ecosystem repositories, databases, trading systems, and research infrastructure. This isn't a research role bolted onto a trading desk; it's an engineering role focused on getting AI systems into production, with real usage and measurable impact across a high-performance trading business.

You'll operate with significant autonomy: evaluating models and frameworks, identifying where AI genuinely moves the needle, and owning delivery from first prototype to production system.

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 capable of interacting with enterprise systems and APIs
• Evaluate emerging models, frameworks, and AI tooling on their merits
• Partner with researchers, engineers, and business stakeholders to identify high-value use cases
• Help set standards and best practices for AI development across the HFT business

Requirements

• Strong software engineering background in Python
• Track record building and operating production systems
• Strong debugging, design, and problem-solving skills
• Hands-on experience with modern AI platforms, LLMs, and AI tooling
• Solid understanding of APIs, distributed systems, and software architecture
• Demonstrated ability to independently drive projects from concept to production
• Experience building AI agents or agentic workflows
• Experience evaluating AI systems and coding assistants
• Familiarity with MCPs, tool-use frameworks, or related technologies
• Exposure to quantitative research, trading technology, or financial markets is a plus, not a requirement

• The firm supports a healthy work-life balance alongside professional achievement, with initiatives and programs in place to back that up.

It is an equal opportunity employer with a genuine commitment to open, respectful working culture.