Senior AI Engineer
Quberesearchandtechnologies · London
What this role requires
One requirement, read out of the advert rather than guessed from the job title:
Also mentioned, not required: AI, APIs, distributed systems, software architecture. Worth having, but their absence is not what gets a CV filtered out.
Free, no card. Tells you which of them your CV evidences and which it only implies.
Job description
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
Read the full description (16 more sections)Show less
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)
QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.
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