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Senior/Staff AI Software Engineer
We're recruiting on behalf of a well-established, globally recognised technology business operating in the commerce and payments space. Trusted by some of the world's largest retailers and e-commerce platforms, they've built a reputation over more than a decade for solving genuinely hard problems at scale; their network spans billions of data points and their technology sits at the heart of how major brands manage trust and identity across the customer journey.
AI is central to how they operate and increasingly central to what they build. This isn't a business just beginning to experiment with AI; it's one that has moved firmly into the productisation phase, building AI-powered capabilities that touch every part of the organisation.
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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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.
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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.
What the role involves
You'll join a dedicated AI Engineering team that acts as the focal point for AI across the business; designing, building and maintaining the platforms, tools and APIs that power both internal workflows and customer-facing products.
Day to day that means:
- Building reusable AI infrastructure
- Developing evaluation frameworks and guardrails to ensure model reliability
- Working with RAG systems, MCP servers and agentic patterns
- Helping other engineering teams leverage what you build
You'll take full ownership of projects from requirements through to deployment and operation, and act as an internal advocate for strong AI engineering practice across the business.


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What we're looking for
- 5+ years of backend engineering experience, building complex and highly scalable systems
- Solid understanding of GenAI, LLMs and foundation models
- Hands-on experience with agentic frameworks, RAG systems, evals and MCP
- Familiarity with AI coding tools such as Cursor, GitHub Copilot or similar
- Experience working with public cloud infrastructure (AWS, GCP or Azure)
- Strong sense of ownership; comfortable developing, deploying and running projects end to end
Hybrid, London.
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