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Product Engineer

London
£120k – £200k/yr
Posted 24 days ago
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Firstly, a disclaimer: this isn’t a normal engineering role.

This is for builders who want to design and ship systems that could genuinely change how some of the world’s largest companies operate in the age of AI.

One of the biggest blockers to innovation today? Legacy systems.

Yes, you’re probably thinking: “Ah, legacy systems… the gift that keeps on giving.”

And that’s exactly the problem.

Large enterprises have decades of systems, custom workflows, and technical debt built up over time. The answer isn’t ripping everything out and starting again, it’s figuring out how to make these systems work smarter.

That's what these are solving..

You’ll be building AI systems that sit across some of the most complex technology environments in the world and making them dramatically better.

You’ll join a team building the technology to make that possible, working on scalable systems, complex data problems, AI-driven workflows, and products built from the ground up.

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 makes this exciting from an engineering perspective:

  • Real ownership You won’t be one small part of a huge engineering machine. You’ll help shape architecture, influence technical decisions, and have a genuine say in the direction of the product.
  • End-to-end building You’ll work closely with customers, understand real problems, design solutions, and ship things that are actually used.
  • Hard technical challenges You’ll be solving problems across complex enterprise environments, large-scale data, automation, and AI systems that need to work in the real world.
  • Early-stage impact, without the guesswork The product is proven, customers are already using it, and the company is now at the stage where engineers joining can have a huge impact.

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The exciting part? It’s still early.

You’ll be joining a company backed by top investors with $70+ mil in funding and founded by engineers who have built at the highest level. They’re looking for people who enjoy ambiguity, care about quality, and want to solve problems that don’t have obvious answers.

You don’t need to be tied to one language or framework, they’re looking for adaptable engineers who are curious, technical, and excited about building AI systems.

If you’re looking for a role where you can build, own, and see your work make an impact, apply below or reach out at ethan.farrell@linuxrecruit.co.uk

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Skills

AI Systems
Data Problems
Automation
Technical Decisions
Architecture
Customer Engagement
Problem Solving
Adaptability
Engineering
Complex Systems
Workflows
Scalability
Technical Debt
Legacy Systems
Building
Ownership

Location

London, England, United Kingdom

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