Founding Applied AI Engineer: Build Production AI Systems

Founding Applied AI Engineer: Build Production AI Systems

Full-Time 70000 - 90000 £ / year (est.) No working from home possible
Stackfix

At a Glance

  • Tasks: Build and deploy AI systems that transform real businesses and drive profits.
  • Company: Join a pioneering tech company led by experienced founders from Google and DeepMind.
  • Benefits: Enjoy a new MacBook Pro, flexible work environment, and access to cutting-edge AI tools.
  • Other info: Perfect training ground for future entrepreneurs with direct mentorship from successful founders.
  • Why this job: Gain senior ownership from day one and make a tangible impact on diverse industries.
  • Qualifications: 5+ years in production software, strong Python skills, and a passion for problem-solving.

The predicted salary is between 70000 - 90000 £ 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 (LinkedIn): Co-founder & CEO. Previously founded Jukedeck (neural networks for music generation, sold to TikTok). Before that, Google and Zetta Venture Partners.
  • Tom Dekan (LinkedIn): 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: Build Production AI Systems employer: Stackfix

As a Founding Applied AI Engineer, you'll join a pioneering team dedicated to transforming businesses through cutting-edge AI solutions. Our vibrant work culture fosters innovation and collaboration, allowing you to take ownership of projects from day one while working closely with industry leaders. With a focus on personal growth and real-world impact, this role offers unparalleled opportunities to develop your skills in a supportive environment located in the heart of Holborn.

Stackfix

Contact Details:

Stackfix Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Founding Applied AI Engineer: Build Production AI Systems

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

Practice your storytelling skills. You’ll need to explain your past projects and the impact they had. Make it engaging! Highlight the challenges you faced, how you overcame them, and the results. This is your chance to shine and show your commercial instinct.

Tip Number 3

Network like a pro! Connect with current employees on LinkedIn or attend industry events. Building relationships can give you insider info and even a referral. Plus, it shows you’re proactive and serious about landing the role.

Tip Number 4

Don’t forget to follow up after your interview! A quick thank-you email can go a long way. It’s a chance to reiterate your enthusiasm for the role and remind them why you’re the perfect fit. And hey, if you apply through our website, we’ll make sure your application gets the attention it deserves!

We think you need these skills to ace Founding Applied AI Engineer: Build Production AI Systems

Python
AI System Development
Software Architecture Design
Workflow Mapping
Integration Skills
Prototyping
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 building production systems that make a difference in real businesses.

Be Specific About Your Experience:Don’t just list your past jobs; tell us about the projects you’ve worked on. Walk us through a system you built, what challenges you faced, and how you overcame them. This helps us understand your problem-solving skills and your approach to real-world applications.

Tailor Your Application:Make sure your application speaks directly to what we do at StudySmarter. Highlight your experience with workflows and how you can integrate AI into existing systems. Show us that you understand our mission and how you can contribute to it!

Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. Plus, it shows you’re keen on joining our team!

How to prepare for a job interview at Stackfix

Know Your AI Inside Out

Make sure you’re well-versed in the latest AI technologies and frameworks. Be ready to discuss specific projects you've worked on, especially those that involved building production systems. Highlight your experience with Python and any other relevant stacks, as this will show you can hit the ground running.

Understand Client Workflows

Familiarise yourself with how businesses operate and the common pain points they face. During the interview, demonstrate your ability to map out workflows and suggest how AI can streamline processes. This shows you’re not just a coder but someone who understands the bigger picture.

Showcase Your Problem-Solving Skills

Be prepared to walk through a system you built, detailing the challenges you faced and how you overcame them. Discuss what you learned from any failures and how you would approach things differently next time. This reflects your growth mindset and resilience.

Demonstrate Commercial Awareness

Since you'll be interacting with high-level executives, it’s crucial to show that you understand what drives profits in a business. Brush up on basic financial concepts and be ready to discuss how your work can impact a company's bottom line. This will set you apart as a candidate who thinks beyond just coding.