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Product Engineer

London
£110k – £150k/yr
Posted 1 day ago
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Product Engineer / AI Engineer – AI-Native Startup

💰 Salary: £110k–£150k + equity

📍 Location: London, onsite

We’re super excited to have partnered with a recently funded, early-stage startup building a full-stack, AI-native audit firm, reimagining how one of the world’s most established professional services industries operates.

Having recently raised their pre-seed funding, they’re building an exceptional team to fundamentally transform auditing through AI, automation, and cutting-edge engineering.

Founded by ambitious entrepreneurs, they’re looking for an outstanding AI Engineer / Product Engineer to join their growing engineering team. This is an opportunity to get in incredibly early, take ownership, and help build something with the potential to reshape an entire industry.

They have an extremely high hiring bar and are looking for the very best emerging engineering talent. This could be a recent graduate from a top university or an engineer with a few years of experience, provided you have the technical ability, ambition, and drive to match.

Role Overview

As an AI Engineer, you’ll be building at the intersection of engineering, AI, and product:

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.

  • AI & LLM Engineering – building AI-native workflows and intelligent systems
  • Product Engineering – solving real problems and delivering meaningful outcomes
  • Rapid Execution – shipping features quickly, iterating, and continuously improving
  • End-to-End Ownership – taking ideas from concept through to production
  • Domain Expertise – getting to grips with a complex industry and challenging the status quo
  • Technical Innovation – contributing fresh ideas and helping shape the architecture as the company scales

Profile

They're looking for engineers who are:

  • Academically exceptional – ideally from a top university, with a strong background in Computer Science, AI, Engineering, or a related discipline
  • Technically outstanding – potentially with experience in programming competitions, Olympiads, ICPC, BMO, or similar
  • AI-native – genuinely excited about the possibilities of LLMs and building with AI
  • Product-minded – focused on outcomes and solving problems, not just writing code
  • Highly ambitious – hungry to learn, grow, and make a significant impact
  • Autonomous & proactive – comfortable taking initiative, making decisions, and driving things forward independently
  • Comfortable with ambiguity – excited by a zero-to-one environment where there isn't always a playbook
  • High ownership – willing to roll up your sleeves, work hard, and take responsibility for what you build

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You'll be joining an experienced engineering team where you can learn from people who've tackled complex infrastructure and scaling challenges, while bringing fresh thinking and helping define how AI can transform an entire industry. 🫱🏼 🫲🏽

This is not a role for someone looking to sit back and wait for instructions. It's for someone who wants to move fast, challenge conventional thinking, and have a genuine impact from the very beginning.

🚀 If you're an exceptional engineer looking for serious ownership, an ambitious team, and the opportunity to build something truly transformative from day one, get in touch to find out more!

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Location

London, England, United Kingdom

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