At a Glance
- Tasks: Design and build AI workflows to automate decision-making for major banks.
- Company: Tuza, a cutting-edge fintech startup transforming banking operations.
- Benefits: Competitive salary, hands-on experience, and direct collaboration with industry leaders.
- Other info: Join a high-performance team backed by elite investors.
- Why this job: Own the AI stack and make a real impact in global finance.
- Qualifications: Experience with LLM pipelines and strong Python skills required.
The predicted salary is between 80000 - 100000 £ per year.
Tuza is a $7M Seed‑funded London fintech backed by Northzone and Connect Ventures, building AI‑native automation to replace $100B+ of manual bank operations.
Join Tuza as an AI Engineer to build agentic workflows that automate complex reasoning and decision‑making for globally significant banks. You will own the AI and data infrastructure end‑to‑end, designing LLM pipelines that resolve exception‑heavy processes. Working directly with founders, you’ll ship production‑grade AI that transforms how major financial institutions operate.
Location: London, UK
Why this role is remarkable:
- Own the entire AI and data stack at a high‑growth startup, moving from prototype to production with major UK banks in a single sprint.
- Backed by elite investors like Northzone and Connect Ventures (Spotify, Klarna) to disrupt a $100B+ manual outsourcing market in global finance.
- Directly collaborate with the world’s largest banks (e.g., Barclaycard, Natwest) and report to the CEO/CTO within a high‑performance team of ex‑founders.
What You Will Do:
- Design and build agentic workflows using LangChain and Python to automate reasoning and complex decision‑making across partner bank systems.
- Maintain the AI quality bar by implementing structured evals, monitoring, and iterative prompt engineering to ensure reliable agent behaviour.
- Partner with stakeholders at top‑tier banks to translate ambiguous operational challenges into technical AI solutions and actionable risk insights.
The ideal candidate:
- Proven experience shipping production‑grade LLM pipelines or agentic systems using frameworks like LangChain, Temporal, or n8n.
- Strong technical foundation in Python and AWS infrastructure, capable of engineering and maintaining robust data platforms and ETL jobs.
- Exceptional stakeholder instincts with the ability to lead data‑driven conversations with enterprise customers and translate results into product value.
AI Engineer at Tuza in London employer: Jack & Jill
Tuza is an exceptional employer, offering AI Engineers the unique opportunity to own the entire AI and data stack within a high-growth fintech startup in London. With direct collaboration with major UK banks and a culture that fosters innovation and rapid prototyping, employees benefit from a dynamic work environment that encourages professional growth and impactful contributions to the financial sector.
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We think this is how you could land AI Engineer at Tuza in London
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We think you need these skills to ace AI Engineer at Tuza in London
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Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Prepare for Case Studies
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