Rodeo
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Few&Far

Founding Software Engineer (ML + Payments)

London
£140k/yr
Posted about 23 hours ago
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Founding Engineer - Stealth Agentic Commerce Startup 🕵️

Hybrid in London Office

Up to £140k + Meaningful Equity

They're building the trust layer for agentic commerce (yes, they know "agentic" is doing a lot of work right now, bear with them).

Here's the pitch: soon, commerce will be agent-led. You tell an agent what you want, it goes and buys it. Autonomously. No shopper is going to hand over their card details to a robot unless they're sure it'll buy the right thing - the right size nappies, not the ones your baby outgrew three months ago. That's not fraud, that's not a hack, it's a totally new risk category they call "alignment risk." And right now, nobody has solved it. They're building the buyer-protection layer and risk engine to fix that.

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.

P

Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your 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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It 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.

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Strong

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.

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Strong

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 you'll actually build:

  • The risk model - go from bootstrapped spreadsheets to an actual risk engine that can quantify "alignment risk" using whatever mix of supervised learning, LLM-as-judge, and other tricks gets you there. Nothing like this exists yet, so you're not implementing a known playbook, you're writing it.
  • The payment flows — build on the newest agentic commerce protocols so the risk layer plugs into real payment flows, sometimes building those flows from scratch alongside partners. Uncharted territory, bleeding-edge tech, straight to production. What could go wrong.

What they need:

A founding engineer who'll build the whole thing end-to-end with the founders Backend ML, payment orchestration, the lot.

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  • You've shipped production software end-to-end. Bonus points the closer it was to an actual 0-to-1 story.
  • You've got real depth in ML infra or payments (ideally both, but they'll take one).
  • You make sharp calls on imperfect information — you know when to over-engineer and when to duct-tape it and ship.
  • High agency, low ego.

You're the kind of person who:

  • Cares (maybe too much) about craftsmanship.
  • Gets genuinely curious about users, new tech, weird ways of building things.
  • Has taste — you think about the UX implications of your choices, and you're partial to calm tech over chaos.
  • Ships fast, iterates faster, and doesn't get precious about it.
  • Brings good energy - robust debate, healthy appetite for silliness.
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Skills

Machine Learning
Payment Orchestration
Backend Development
ML Infrastructure
Risk Modeling
LLM-as-judge
Supervised Learning
Software Architecture
Product Development
API Integration

Location

London, England, United Kingdom

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