RevTech
Senior AI Software Engineer – AI Centre of Excellence

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Fast-growing Global Fintech | London HQ (hybrid)
Salary: £80-100k
Location: London – 3 days p/w
Our client is a leading global payments platform, processing billions of transactions a year for some of the world's best-known digital brands. With a footprint spanning six continents and a reputation for moving fast and thinking big, they're now investing heavily in Generative AI to transform how the business operates — and they're looking for a Senior AI Engineer to help lead that charge.
This is a rare opportunity to join a newly established AI Centre of Excellence, working at the cutting edge of applied Generative AI within a high-scale, high-stakes fintech environment. You'll not only build and deploy AI solutions but help shape company-wide AI strategy and best practice.
The Role
As a Senior AI Engineer, you'll design, build, and deploy AI-driven solutions that enhance products and streamline operations, working closely with product, data science, and engineering teams. You'll also play a key role in mentoring peers and setting the technical direction for AI adoption across the business.
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.
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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.
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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.
Key responsibilities include:
- Partnering with cross-functional teams to identify and deliver high-impact Generative AI use cases
- Designing and building APIs and microservices that embed AI capabilities into core workflows
- Developing, fine-tuning, and deploying LLM-based applications (chatbots, assistants, knowledge extraction tools, etc.)
- Architecting scalable AI infrastructure on AWS, GCP, or Azure using containerisation and Infrastructure-as-Code
- Implementing CI/CD pipelines and secure, compliant AI deployment practices
- Building intuitive interfaces for teams to interact with AI-driven features
- Continuously optimising the performance, reliability, and scalability of AI systems
What You'll Bring
- Hands-on experience with LLMs (GPT, BERT, Llama, Gemini, etc.) applied to real-world problems
- Strong backend engineering skills, including RESTful APIs and microservices architecture
- Proficiency in Python and/or JavaScript, with familiarity in AI frameworks such as LangChain or PydanticAI
- Solid grounding in cloud computing (AWS, GCP, or Azure), Docker, Kubernetes, and Terraform
- Strong problem-solving ability and comfort operating in a fast-paced environment
- Excellent communication and cross-team collaboration skills


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Nice to Have
- C# or Java proficiency
- Frontend experience with JavaScript/TypeScript and React
- Experience fine-tuning and prototyping Generative AI applications
- Awareness of ethical AI practices and AI governance standards
- A track record of rapid prototyping with measurable business impact
- Experience with distributed systems and large-scale data processing
- Open-source contributions or a strong GitHub portfolio
- Prior experience in the payments industry (a strong plus)
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