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Paires

Founding AI Engineer

United Kingdom
£125k – £180k/yr
Posted 1 day ago
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Founding AI Engineer

We are hiring our Founding AI Engineer

We are hiring our Founding AI Engineer to own the brain of an AI-first fundraising platform: the matching engine and the agents built on top of it.

Paires is where founders come to raise capital.

We pair them with the right investors from a large, engaged global investor network, then our agents run the outreach and manage the relationships that turn into meetings. It is a two-sided platform, a product for founders and a living network on the investor side, not one-way matching. We are live with paying clients, profitable and self-funded, and we run as a small, senior, flat team that ships fast.

The role

You own our core: the two-sided matching engine that pairs founders with investors, and the agent layer that reasons over it. This is the most important surface in the product, and it is yours to build.

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 will own

  • The matcher: embeddings, ranking, scoring, and the feedback loop that makes matches sharper over time.
  • The agents: prompt design, evals, retrieval, and tool use that turn matches into booked meetings.
  • The backend and data behind it: Python, Postgres, Supabase, clean pipelines.
  • Shipping to production end to end, and the judgment to know what to build next.

You are a fit if you

  • Ship LLM systems to production and have real examples you can walk us through.
  • Have built retrieval, ranking, or matching with embeddings in production.
  • Write strong Python and reason clearly about data and systems.
  • Design evals, because you care whether the output is actually good.
  • Own outcomes end to end and move fast with AI tooling.

Get help with your application

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Bonus: FastAPI, vector databases, agent frameworks, fintech or fundraising.

What we offer

Fully remote and async. The best AI tooling, paid (Claude Code, Cursor, top models). Real ownership of the core product, with equity potential for the right person. Compensation: 125,000 to 180,000 GBP per year, plus equity potential.

How to apply

Easy Apply, and answer the screening questions honestly. We read every application against a short set of must-haves.

Trusted by 25,000+ job seekers

“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”

Jessica, London

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Skills

Python
LLM Systems
Embeddings
Ranking
Scoring
Feedback Loop
Prompt Design
Evals
Retrieval
Tool Use
FastAPI
Vector Databases
Agent Frameworks
Fintech
Fundraising

Location

United Kingdom

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