Senior AI Engineer

Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT’s collaborative mindset which enables us to solve the most complex challenges. QRT’s culture of innovation continuously drives our ambition to deliver high quality returns for our investors.

We are looking for an experienced AI Engineer to help drive the adoption of AI across our High Frequency Trading (HFT) business. You will build AI-powered tools, agents, and platforms that improve productivity across research, development, and trading operations. You will evaluate emerging AI technologies, integrate them into our internal ecosystem, and develop solutions that deliver measurable business value.

Your future role within QRT

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 new models, frameworks, and AI tooling

Partner with researchers, engineers, and business teams to identify high-value use cases

Contribute to standards and best practices for AI development across the HFT business

Your present skillset

Strong software engineering experience in Python

Experience building and operating production systems

Excellent design, debugging, and problem-solving skills

Experience with modern AI platforms, LLMs, and AI tooling.

Strong understanding of APIs, distributed systems, and software architecture

Ability to independently drive projects from conception 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

Experience with quantitative research, trading technology, or financial markets (good-to-have)