Concentric Recruitment
Artificial Intelligence Engineer

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Role: AI Engineer
Sector: Financial Services
Job Type: Full-Time
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
Sponsorship: No sponsorship available
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
- Strong object-oriented Python engineering experience
- 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
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
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


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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
What You Need To Do Next
If this role sounds interesting, and you think you have the required experience, please contact me directly.
Email: cristian@weareconcentric.com | Follow me
Concentric Recruitment is a boutique recruitment firm focused primarily on recruitment for Cloud DevOps and AI Engineering roles.
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