Founding Applied AI Engineer in London

Founding Applied AI Engineer in London

London Full-Time 60000 - 80000 £ / year (est.) No working from home possible
Stackfix

At a Glance

  • Tasks: Own AI builds end-to-end, designing and shipping software for real businesses.
  • Company: Join a pioneering AI company transforming industries with innovative solutions.
  • Benefits: Competitive salary, new MacBook Pro, and access to cutting-edge AI tools.
  • Other info: Dynamic environment with direct mentorship from successful entrepreneurs.
  • Why this job: Make a tangible impact on businesses while working with top-tier founders.
  • Qualifications: 5+ years in production software, strong Python skills, and a passion for problem-solving.

The predicted salary is between 60000 - 80000 £ per year.

What we do: We take frontier AI and deploy it inside real businesses. A factory still processes orders by hand. An international law firm has humans copying data between systems. A multi-billion dollar fund still manually checks its obligations. We fix this. We go in, understand workflows, and build AI systems that grow profits. These are production systems processing hundreds of transactions a day, or reviewing thousands of records an hour - generating real earnings for real companies. Our work spans professional services, manufacturers, distributors and the funds that back them. Each project is different. Each grows the global economy.

Who you’d work with:

  • Paddy Stobbs: Co-founder & CEO. Previously founded Jukedeck (neural networks for music generation, sold to TikTok). Before that, Google and Zetta Venture Partners.
  • Tom Dekan: Co-founder & CTO. 8+ years building AI systems. Founded and sold an HR software company in 2023. Earlier work for hedge funds and Allen&Overy.

We're backed by Tier 1 investors and angels from DeepMind.

What you’d do:

  • Own AI builds end-to-end for specific clients.
  • Sitting with operators on-site, mapping how work actually flows through their systems.
  • Designing the architecture and shipping working software in weeks, not quarters.
  • Integrating with whatever the client runs.
  • Presenting results to client leadership.
  • Owning the system in production once it's live.

A typical project:

  • Week 1: On-site with a client, mapping how their core workflow runs today.
  • Week 4: Working prototype handling the highest-volume cases automatically.
  • Week 12: System processing hundreds of transactions a day. Presenting results to the board.

Projects run 4-9 months. Every line of code you write powers real transactions.

What you’d get:

  • Senior ownership from day one. No layers, no committees. You decide the architecture, you ship, you stand behind it in front of customers.
  • Work at the frontier. The models, tools, and patterns we use are 12 months ahead of where most companies are. You're applying them to systems that need to actually work.
  • Ability to solve valuable problems in real businesses. Different industries, different systems. Better preparation for entrepreneurship in 3 months than 3 years on one product.
  • Direct line to two exited founders. We have both sold businesses previously. You see how we sell, negotiate, build, and run the company. If you want to start something later, this is the training ground.
  • Materially: New Macbook Pro (and subscriptions to any AI models you want to use), Central private office (Holborn).

Who we’re looking for:

  • 5+ years building production software.
  • Strong Python, comfortable with whatever stack the job needs. We care about systems that worked, not job titles.
  • A track record of shipping things that mattered. Walk us through a system you built, why you built it that way, what broke, and what you'd do differently.
  • Commercial instinct. You’ll be in rooms with CEOs, CFOs, and operating partners. You don't need an MBA, but you need to want to understand what drives profits.
  • High performer in something. Paddy was a professional singer from age 8. Tom played water polo for GB. We're looking for the same pattern of obsession applied to code.

Who we’re not looking for:

  • Sees work as the thing that funds their life.
  • Doesn't view work as a major source of life fulfilment.

We don't do 80-hour weeks. We value sleep highly. But growth has to be a priority for you.

Founding Applied AI Engineer in London employer: Stackfix

As a Founding Applied AI Engineer, you'll join a pioneering team that is reshaping industries by deploying cutting-edge AI solutions in real business environments. With a strong emphasis on senior ownership and rapid project delivery, you will have the unique opportunity to work directly with founders who have successfully navigated the entrepreneurial landscape, all while enjoying a supportive work culture that prioritises growth and innovation. Located in Holborn, our central office provides a collaborative atmosphere where your contributions directly impact client success and the global economy.

Stackfix

Contact Details:

Stackfix Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Founding Applied AI Engineer in London

Tip Number 1

Get to know the company inside out! Research their projects, values, and team members. When you walk into that interview, you want to show them you’re not just another candidate – you’re genuinely interested in what they do and how you can contribute.

Tip Number 2

Network like a pro! Connect with current employees on LinkedIn or attend industry events. A friendly chat can go a long way in making a lasting impression and might even get you a referral. We love seeing familiar faces!

Tip Number 3

Prepare for hands-on discussions. Since you’ll be owning AI builds end-to-end, be ready to talk about your past projects in detail. Share your thought process, challenges faced, and how you overcame them. Show us you can think on your feet!

Tip Number 4

Don’t forget to follow up! After your interview, drop a quick thank-you note. It’s a simple gesture that shows your enthusiasm and professionalism. Plus, it keeps you fresh in their minds as they make their decision.

We think you need these skills to ace Founding Applied AI Engineer in London

AI System Development
Workflow Mapping
Software Architecture Design
Python Programming
Production Software Building
Integration Skills
Client Presentation Skills

Some tips for your application 🫡

Show Your Passion for AI:When you're writing your application, let your enthusiasm for AI shine through! We want to see that you’re not just skilled but genuinely excited about using AI to solve real-world problems. Share any personal projects or experiences that highlight your passion.

Be Specific About Your Experience:We love details! Instead of just listing your past jobs, tell us about specific systems you've built and the impact they had. Walk us through your thought process, what challenges you faced, and how you overcame them. This helps us understand your problem-solving skills.

Tailor Your Application:Make sure your application speaks directly to what we do at StudySmarter. Highlight your experience with production software and how it relates to our mission of deploying AI in businesses. The more relevant your application is, the better!

Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us that you’re proactive and keen to join our team!

How to prepare for a job interview at Stackfix

Know Your AI Stuff

Make sure you brush up on the latest in AI technologies and frameworks. Be ready to discuss specific projects you've worked on, especially those that involved building production software. They want to see your hands-on experience and how you tackled challenges.

Understand Their Business

Do your homework on the company and its clients. Understand the industries they operate in and the problems they solve with AI. This will help you tailor your answers and show that you're genuinely interested in how your skills can contribute to their mission.

Show Your Problem-Solving Skills

Be prepared to walk them through a system you've built. Explain your thought process, the architecture you chose, and any obstacles you faced. Highlight what you learned from the experience and how you'd approach things differently next time.

Demonstrate Your Commercial Instinct

Since you'll be interacting with high-level executives, it's crucial to show that you understand what drives profits. Think about how your technical decisions impact the bottom line and be ready to discuss this during the interview.