You will develop and optimize multi-agent systems that automate manual banking workflows for partners like Worldpay and NatWest. Owning the orchestration, auditability, and evaluation loops, you will ensure these agents are trustworthy and secure. This is an early-stage opportunity to define a product in the hardest, highest-value sector for AI.
AI Engineer at Tuza
Join Tuza, a London fintech backed by $7M from Northzone and Connect Ventures, as an AI Engineer building the multi-agent systems automating major banks. You’ll work directly with partners like Worldpay and NatWest to replace manual workflows with accurate, secure AI agents. With extreme ownership and a high-velocity learning culture in Shoreditch, this is your chance to ship production-grade AI where it matters most. Enjoy perks like rooftop barbecues, visa sponsorship, and generous equity.
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Location
London, United Kingdom
Compensation
Not Disclosed
Company
Tuza
Role overview
Fintech15 employees
Tuza is building AI-native automation for financial services. Their platform and agents create end-to-end automations that reduce manual processes by up to 90% in globally significant banks. Tuza’s AI-native automation platform creates capacity in the world’s largest banks by removing manual processes, addressing growth bottlenecks in financial services.
What you will do
- Develop and optimize AI agents using Python and LLM orchestration tools to handle live, high-volume banking workflows and complex integrations.
- Design robust review gates, fail-safes, and fallback behaviors to maintain the extreme security, explainability, and auditability required by global financial institutions.
- Build the core observability and feedback loops to monitor agent performance and iterate on the product based on bank-side feedback and production evals.
Who this is a fit for
- Has at least 4 years of experience as an engineer, with a proven track record of shipping AI automation that is currently running in production.
- Demonstrates exceptional Python skills and experience orchestrating LLMs using tools such as Temporal or LangChain to solve complex, non-linear logic.
- Possesses a record of making agents reliable, efficient, and accountable, while being fluent in modern data pipelines and system integrations.
Why this role is remarkable
- Work on mission-critical AI agents for tier-one banking institutions like Barclaycard and NatWest, solving high-stakes manual workflow problems that currently limit bank growth.
- Join a well-funded team of 12 where you have extreme ownership over the technical direction, product experimentation, and the orchestration of production-grade LLM systems.
- Experience high learning velocity by spending time inside partner banks to observe friction first-hand, turning those insights directly into product changes and technical improvements.
How Jack & Jill work together
I get to know what you’re great at, then find roles you’d never find yourself.Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
I recruit from Jack’s network and make the intro when I spot a great match.And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.
Meet Jack
What happens next?
Jack’s an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack’s network.
If your profile’s a match and Tuza wants to meet, Jill will make the intro. In the meantime, Jack will send you excellent alternatives.