Founding Applied AI Engineer

Stackfix

Greater London

On-site

GBP 90,000 - 120,000

Full time

5 days ago
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Benefits offered by this job

Equity
MacBook Pro
AI model access
Private office

Job summary

Stackfix is building AI-enabled client solutions on-site, owning the full lifecycle from discovery to production. You will map real workflows with operators, ship software that works, and integrate with existing client systems. You will own the system after it goes live and drive measurable value for customers.

We value autonomy, high standards, and sustained output. You will work closely with Paddy and Tom, and enjoy founder-level learning and exposure in a small, pragmatic team.

Qualifications

  • 4+ years of building production software.
  • Strong Python expertise with hands-on coding experience.
  • You enjoy talking to users and gathering feedback.
  • You can reason about reliability, data quality, and edge cases.
  • You care about delivering measurable value.

Responsibilities

  • Sit with operators on-site and map how work actually happens.
  • Build and ship working software.
  • Integrate with whatever the client already runs.
  • Own the system after it goes live.

Skills

4+ years production software
Python
User interaction
Reliability, data quality, edge cases
Value-driven development

Tools

Django
HTMX
Alpine.js
Typescript

Job description

The role

You will own AI builds end-to-end for clients.

You will:

  • Sit with operators on-site and map how work actually happens
  • Build and ship working software
  • Integrate with whatever the client already runs
  • Own the system after it goes live
About us

Paddy (https://www.linkedin.com/in/paddystobbs) worked at Google, and later founded Jukedeck, a neural-networks-for-music company, which TikTok acquired.

Tom (https://www.linkedin.com/in/tomdekan) founded and sold an HR software company in 2023, and has 9+ years building AI systems, including using GPT2 when it was released.

We are backed by Seedcamp, Chalfen Ventures, and angels from DeepMind.

We use boring software wherever possible: our aim is to minimize complexity. The stack varies per customer. Our default stack is:

  • Python
  • Django
  • HTMX / Alpine.js / Typescript
Who this role is for

We care about systems you have built, not job titles. You should apply if:

  • You have 4+ years building production software
  • You are strong in Python
  • You like talking to users
  • You can reason clearly about reliability, evals, data quality, and edge cases
  • You care whether software creates measurable value

We also look for evidence of sustained excellence. The domain matters less than the pattern: high standards, long attention span, and visible output. Examples: Paddy (CEO) was previously a professional singer. Tom (CTO) played waterpolo for GB.

Who this role is not for

Please don’t apply if:

  • You want a remote-first role
  • You don’t want to understand how a client makes money
  • You dislike talking to customers
  • You want a narrow backend role or frontend role

This is for someone who wants work to be one of the main places they grow.

We optimise for autonomy, quality, and sustained output, not long hours.

What you get
  • Ownership. You will own client builds from discovery to production.
  • Direct commercial exposure. You will see how companies make money, where they leak margin, and where software creates value.
  • Founder-level learning. You will work directly with Paddy and Tom, two exited founders, and see how we sell, scope, negotiate, build, hire, and run the company.
  • Meaningful upside. £90,000-£120,000/year salary + equity + a new MacBook Pro + subscriptions to any AI models you need + a central private office in Holborn.
Interview Process
  • Intro chat, 15 minutes - Fit, background, and what you are looking for.
  • Technical screen, 60mins - A programming task (<60mins) and discuss it.
  • Technical interview. - A realistic engineering discussion. No trick questions or leet code questions.
  • In-person working session, 2-3 hours, in Holborn - A realistic problem based on the kind of work we do. No whiteboard theatre. No unpaid client delivery.
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