Artificial Intelligence Engineer

Techmunity; Greater London; Hybrid; GBP 120,000 - 140,000; Full time

Benefits offered by this job

2% equity

Job summary

Techmunity in London is building AI agents to automate real estate credit underwriting. We're hiring our first engineer to take over the codebase from the CTO and help shape the next hires.

You'll work on Python/FastAPI backend and React/TypeScript frontend to implement auditable, end-to-end solutions. Ideal candidates have shipped LLM agent systems in production, with strong Python, and experience with evals, document extraction, and finance workflows where accuracy matters.

Qualifications

• Experience building and running LLM agent systems in production.
• Strong production Python development skills.
• Frontend experience with React/TypeScript to own features end-to-end.
• Experience with evals, document extraction, and finance workflows.

Responsibilities

• Eval against analyst-reviewed ground truth.
• Develop human-in-the-loop agents that can pause and resume.
• Build and iterate auditable Excel financial models.
• Create document pipelines across PDFs, charts, and spreadsheets.
• Own Python/FastAPI backend and React/TypeScript frontend features.

Skills

Python

FastAPI

React

TypeScript

LLM agents

Document processing

Job description

London | 1-2 days a month in office

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 do that work in around an hour – reading documents, researching markets, reasoning across information and producing analysis where every figure traces back to its source or calculation.

The product is already in production with 3 funds, including 2 on paid 12-month contracts.

They're now hiring their first engineer. You'll take over the codebase from the CTO and help choose the next engineers they hire.

You'll work on:

• Evals against analyst-reviewed ground truth
• Human-in-the-loop agents that can pause + resume
• Agents that build + iterate auditable Excel financial models
• Document pipelines across messy PDFs, charts + spreadsheets
• Python/FastAPI backend + React/TypeScript frontend

The key requirement is that you've already built and run LLM agent systems in production – dealing with retrieval, context, tools and orchestration yourself.

They want someone who brings the war stories: what broke, why it broke and how you made agents reliable enough for real users to depend on.

Strong production Python is essential, alongside enough React/TypeScript to own features end-to-end.

Experience with evals, document extraction, finance or another environment where accuracy and auditability matter is particularly relevant.

£120k–£140k + ~2% equity. The team works together in Soho on Mondays, but for the right person 1–2 days a month is fine.

• Conversation with the CTO
• Architecture/case-study discussion around real problems they're solving – no coding
• Walk through something you've built + product demo + meet the founding team