AI Engineer

AI Engineer

Full-Time 56700 - 69300 £ / year (est.) Home office (partial)
Tuza

At a Glance

  • Tasks: Develop and optimise AI agents for banking workflows and enhance their performance.
  • Company: Join a dynamic early-stage tech company in Shoreditch focused on AI solutions for banks.
  • Benefits: Competitive salary, equity, 25 days holiday, and £350 for learning or hobbies.
  • Other info: Enjoy a vibrant office culture with fun activities and a supportive team.
  • Why this job: Make a real impact in the banking sector with innovative AI technology.
  • Qualifications: 4+ years experience in Python and AI automation, with a focus on reliability.

The predicted salary is between 56700 - 69300 £ per year.

Build the multi-agent systems that automate work banks currently do by hand. You'll own the orchestration, the auditability, and the evals that make our agents trustworthy.

Mid–senior IC 3 days/week in office Visa sponsorship available

Thanks for taking the time to consider Tuza.

When joining a company at the early stages of its growth story, there's often more than meets the eye.

This is our opportunity to help you understand why your next role should be with us.

We're based in Shoreditch, spend three days a week in the office, and can sponsor visas for the right candidate.

Diversity is a priority for us. We build a better product when the people building it don't all think the same way.

If you're still unsure at the end, drop into our offices in Shoreditch and see it for yourself.

What we do

We build AI agents for banks, taking on the manual work that stops them from growing.

Every business that comes to a bank for a financial product gets passed from team to team, sales to onboarding to activation, and so on.

Right now, every one of those teams is only ever as fast as the number of people in it.

Our agents do that work without the ceiling.

To be trusted with it in a bank, they have to be accurate, quick, and accountable, with auditability, explainability and security built in rather than an afterthought.

That's what makes banks the hardest place to attempt this, and the place where getting it right is worth the most.

Where we're at

We've raised $7 million from Northzone, Connect Ventures and Triple Point, and work with acquiring banks including Worldpay, Barclaycard and Nat West.

We're earlier than that list makes us sound.

The problem is real, and banks are already paying us to solve it.

We're still experimenting with the product that best surfaces our value, and that's a large part of this job, rather than something that will be handed to you finished.

Doing that work is a small but driven team of 12 based in our Shoreditch office who care about their work and its impact.

There's also something you might already know us for.

We built the UK's first payments price comparison platform, helping small businesses compare providers.

It still runs today on Money Super Market, Uswitch and money. co. uk.

You won't be working on it, but it's why we know this market so well.

  • How we work
  • Extreme ownership: you own the outcome of your work, not just the output. If you see something broken or missing, you have the freedom and the responsibility to fix it.
  • Learning velocity: curious, adaptable, and quick to pick things up. Hard problems require grit, and we embrace them.
  • Customer-centric: we spend a day a week inside our partner banks, watching problems happen before they're even reported.

Product decisions get made in that room, not in a roadmap meeting.

  • Open and direct: we communicate openly, directly, and with intent.

What you'll do

  • Develop and optimise AI agents for live banking workflows
  • Design review gates, fail-safes, and fallback behaviour
  • Build the observability and feedback loops behind agent performance
  • Spend time with our partner banks in their offices, and turn what you see there into product changes
  • What we look for

We're hiring mid- to senior-level individual contributors with at least 4 years' experience.

  • Exceptional Python and experience orchestrating LLMs with tools like Temporal or Lang Chain
  • AI automation shipped and running in production
  • A record of making agents reliable and efficient
  • Fluency with data pipelines and integrations

We're an early-stage and intentionally lean. That means

  • We judge impact by the outcome of work, not the output
  • Priorities shift when we learn something new, and we try to communicate why, but it happens
  • You'll be given a direction, and the plan is yours to work out

This suits people who are comfortable with ambiguity, ask early when context is missing, and would rather ship something good enough fast than perfect something late.

It's less suited for those who prefer clear hierarchies, detailed briefs, or predictable roadmaps. That's not a character flaw; we just don't offer that yet.

Probation is a mutual check-in. We give feedback as we go, and we expect the same in return. If the fit isn't there, we'd rather know at month two than month six.

How you'll be assessed

Our aim is to get candidates through the whole process within two weeks of applying — quick enough to respect your time, thorough enough to keep our standards high.

  • 20-minute intro call to talk through your background, what you're looking for, and how we work
  • 40-minute technical interview digging into products you've built and the decisions behind them
  • 3-hour technical assessment, ideally at our Shoreditch office but remote works too
  • 30-minute conversation with our CEO, Ed, to close things out and answer anything still on your mind
  • What's in it for you
  • A competitive salary and generous equity
  • Three days a week in our Shoreditch office, Tuesday to Thursday, and the rest wherever you work best
  • 25 days holiday, with flexibility when you need it
  • £350 a year towards taking a proper break
  • £350 a year towards learning or a hobby
  • Smart, kind colleagues who care about the work
  • Soundbaths, terrarium making, saunas, cooked breakfasts, barbecues on the rooftop and the occasional Mario Kart tournament
  • #J-18808-Ljbffr

AI Engineer employer: Tuza

Tuza is an exceptional employer located in the vibrant Shoreditch area of London, offering a dynamic work culture that fosters innovation and collaboration. With a focus on employee growth, we provide opportunities for professional development while working on cutting-edge AI technology that is reshaping the banking industry. Our commitment to inclusivity is reflected in our visa sponsorship for the right candidates, making us an attractive choice for those seeking meaningful and rewarding employment.

Tuza

Contact Details:

Tuza Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI Engineer

Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Tuza or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Tuza.

Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Tuza.

Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Tuza that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace AI Engineer

Python
LLM Orchestration
Temporal
LangChain
AI Automation
Data Pipelines
Integrations

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Tuza.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Tuza and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Tuza

Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Tuza uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.