Senior AI Software Engineer

Selby Jennings
London, UK
5 days ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Compensation
£80,300.0
Working hours
Regular working hours

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Databases Software Debugging Distributed Systems High-Frequency Trading Python (Programming Language) Software Architecture Software Engineering Software Repository Enterprise Software Applications Application Enhancement Tool
+1 more
Large Language Models

Job description

Our client, a leading global quantitative hedge fund, is looking for a Senior AI Software Engineer in London to drive the adoption of AI across a high-frequency trading business. Working within a technology and data-led environment, you will partner directly with quantitative researchers, software engineers and business teams to identify high-value opportunities, then own the delivery of AI-powered tools from concept through to production. The position exists to connect emerging AI capabilities with complex research, development and trading workflows, improving productivity while establishing robust engineering standards for the wider business.

Responsibilities

  • Build and operate production-grade AI applications, assistants and agentic workflows.
  • Develop integrations connecting AI systems with internal tools, code repositories, databases and knowledge sources.
  • Design AI agents capable of securely interacting with enterprise systems and APIs.
  • Evaluate emerging models, frameworks, coding assistants and AI tooling against genuine business use cases.
  • Partner with researchers, engineers and business stakeholders to take projects from initial problem definition through to production delivery.

Requirements

  • Strong software engineering experience in Python, including building and operating production systems.
  • Practical experience with modern AI platforms, large language models and agentic workflows.
  • Strong understanding of APIs, distributed systems and software architecture.
  • Excellent system design, debugging and problem-solving capabilities.
  • The ability to independently own complex projects, with exposure to quantitative research, trading technology or financial markets considered advantageous.

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Prepare application

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