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Artificial Intelligence Engineer

London
£120k – £140k/yr
Posted about 17 hours ago
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Founding AI Engineer | £120k–£140k + ~2% equity

Location

London | 1-2 days a month in office

About the Role

Join a founding team from Ares, Goldman Sachs, and Deloitte building AI agents to automate real estate credit underwriting.

Today, highly paid analysts can spend 1–2 weeks working through messy PDFs, spreadsheets, market data, and financial models to screen a deal. This startup is building agents that can do that work in around an hour – reading the documents, researching markets, reasoning across the information, and producing fully sourced analysis. The product is already live with paying customers.

They're now hiring a Founding AI Engineer to take the agentic platform to the next level.

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.

Responsibilities

You'll work on:

  • Production multi-agent systems + orchestration
  • Agents reasoning across messy documents and spreadsheets
  • Tool design, evaluations, reliability + traceability
  • RAG + retrieval across financial data
  • Automating complex underwriting/financial modelling
  • Python backend + APIs
  • Architecture as the product and engineering team grow

Tech Stack

Python | FastAPI | Pydantic AI | MCP | PostgreSQL/vector search | TypeScript/React

Key Requirement

You've already built and orchestrated LLM agents in production. They're looking for someone who brings the war stories: what broke, what didn't work, and how you made agentic systems reliable enough for real users.

Relevant Experience

Experience in finance, insurance, legal, or another regulated, document-heavy environment is particularly relevant. Python should be a strength, but this is a founding role – you'll work across the product when needed.

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Compensation

Paying £120k–£140k + ~2% equity. The team meets in Soho every Monday, but are flexible for this person to come in less than that – 1-2 days a month would be fine.

Interview Process

  1. Conversation with the Co-Founder
  2. Live architecture discussion around real problems they're solving – no coding/take-home
  3. Walk through something you've built + startup product demo, meet the wider founding team

Apply Now

Apply now or email reuben@techmunity.io

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Location

London, England, United Kingdom

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