Graduate AI Engineer

• There will be opportunities to work on projects ranging from our core AI-powered customer operations to new agentic workflows and automation products that we're just getting off the ground
• You'll work cross-functionally with our UK and Shenzhen engineering teams, as well as risk, compliance, and customer operations teams
• You'll start shipping code from week one, and learn by doing
• You will join our AI Engineering team and might be contributing by

• Building Generative AI and AI agent solutions for customer operations, internal automation, and lending operations
• Designing prompts, workflows, and evaluation processes to make AI systems more reliable and useful
• Integrating LLMs with internal tools, APIs, databases, and business systems
• Writing clean, scalable, and maintainable Python code for real production use cases

• Mentorship Program: pair with senior engineers throughout the scheme
• Bi-annual technical reviews and career progression planning
• Real Impact: See your AI systems go live and directly improve customer operations, risk workflows, and lending decisions for thousands of customers

• You like using AI to solve complex, real-world problems, not just build demos
• You thrive when given ownership, and autonomy
• You also want to learn about the commercial impact of any technical changes you make
• A recent (or soon-to-be) graduate with a degree in a technical or quantitative field (e.g. Computer Science, AI/Machine Learning, Statistics, Engineering or Mathematics - STEM field)
• Programming: Proficiency in Python or similar languages or a good understanding of computer science and eagerness to learn and perform in Python based technologies.
• Understanding and genuine interest in Generative AI concepts, including LLMs, embeddings, RAG, prompt engineering, structured outputs, and model limitations

• Learn from experienced AI Engineers, and product leaders in a flat, fast-paced team
• A chance to shape the future of credit using the latest Generative AI and agentic technologies
• A collaborative, diverse, flexible culture that values growth, ownership, and keeping our customers first in all of our engineering
• Position yourself at the forefront of the AI and financial services revolution
• Exceptional promotion opportunities from rapid company growth

What We Offer

• Hybrid with 3 days a week in the office
• 25 days' holiday a year, plus 8 bank holidays
• 2 paid volunteering days per year
• One month paid sabbatical after 4 years
• Free gym membership
• Team wellness budget to be active together - set up a yoga class, a tennis lesson or go bouldering

The Interview Process:

• Take Home Test (20-30 mins)
• Remote (video call) Technical Interview (1 hour)
• In-person interview day where you'll meet 3-4 people across Engineering and Senior Leadership (1.5 hours)

Scheme details:

• Our graduate scheme runs for one year, with the opportunity to convert to a permanent role based on performance
• Start date: Late September - Early October 2026 (TBC)

Backed by £2bn+ of funding from top-tier investors including Citi, GSR Ventures, and Deutsche Bank, we're recognised as one of Europe's fastest-growing fintechs (Sifted, CNBC). Now, we're expanding into new markets and product lines - and we're looking for ambitious people who want to learn fast, take ownership, and grow with us.