At a Glance
- Tasks: Design and develop cutting-edge AI applications for trading teams.
- Company: Leading financial institution focused on innovative AI solutions.
- Benefits: Up to £150,000 salary, 20-30% bonus, hybrid work model.
- Other info: Collaborative environment with opportunities for long-term impact.
- Why this job: Join a dynamic team transforming finance with AI technology.
- Qualifications: Experience in AI engineering and strong software development skills.
The predicted salary is between 150000 - 150000 £ per year.
Contract type: Direct employment with our client
Location: Hybrid – London (2 days per week in the office)
Salary range: Up to £150,000 base salary + 20–30% annual bonus
Our client is a leading financial institution building cutting-edge AI solutions that empower front-office trading and quantitative research teams. They are investing heavily in next-generation LLM applications and AI tooling to transform the way traders and quants interact with data, automate workflows, and make faster, more informed decisions.
They are now looking for an experienced AI Engineer to design, build and deploy production-grade AI applications, working closely with trading and quantitative teams to develop scalable LLM-powered solutions for real-world financial use cases. The role combines strong software engineering with applied AI, focusing on delivering robust production systems rather than research prototypes.
What we are looking for:
- Solid understanding of data engineering, concurrent programming and multithreading
- Experience designing and building production-grade LLM applications
- Strong software engineering mindset with a focus on scalable, maintainable systems
- Experience developing AI solutions rather than purely machine learning or data science models
- Ability to collaborate closely with traders, quantitative researchers and engineering teams
- Excellent communication skills and the ability to translate business requirements into technical solutions
Ideal background:
- Experience working within investment banks, hedge funds or other front-office trading environments
- Experience developing AI products for trading, quantitative research or capital markets
- Candidates from crypto or blockchain trading firms are also highly relevant
- Strong understanding of financial markets and trading workflows
- Stable career history demonstrating long-term impact rather than frequent job changes
Nice to have:
- Experience with AI agents and agentic workflows
- Experience deploying LLMs into production at scale
- Knowledge of distributed systems and high-performance computing
- Experience integrating AI solutions into low-latency trading environments
- Exposure to cloud platforms and modern software delivery practices
What you’ll be doing:
- Designing and developing production-grade LLM solutions for front-office trading and quantitative teams
- Building scalable AI applications using Python and modern software engineering practices
- Developing AI-powered tools that improve trader productivity and decision-making
- Working closely with quantitative researchers and traders to understand complex business problems
- Optimising AI systems for performance, reliability and scalability
- Contributing to the evolution of the firm’s AI platform and engineering standards
- Collaborating with highly experienced engineers to deliver AI capabilities into mission-critical trading systems
What we’re looking for beyond technical skills:
- A collaborative engineer with a pragmatic, solution-oriented mindset
- Someone who enjoys working as part of a high-performing engineering team
- Humble, approachable and able to work effectively with a wide range of stakeholders
- Passionate about building production-quality software rather than experimental research
- Motivated to make a long-term impact within the organisation
Artificial Intelligence Engineer employer: Concentric Recruitment
Our client is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of London. With a strong focus on employee growth, they provide opportunities to work on cutting-edge AI solutions that directly impact the financial sector, alongside competitive salaries and generous bonuses. The hybrid working model allows for flexibility while being part of a high-performing team dedicated to transforming trading and quantitative research through advanced technology.
