So far, we’ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance . We get money into our customers’ hands in minutes instead of days.

We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes.

Join us if you want to

1. Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1
2. Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo
3. Build the best technology in-house , using new data sources, machine learning and AI to make machines do the heavy lifting

About the team

We are seeking an AI Engineer to join our Data Science team where we’re building our capabilities to service our customer operations with Generative AI, including a chatbot that supports customer service, various schema extraction tools automating document parsing, and more agentic process automation.

About the role

You will own the systems that safely streamline business processes using LLMs and generative AI. You’ll work on projects including:

• Improving our internal chatbot that supports customer ops
• Expanding our in-house schema extraction pipelines for faster, more accurate document parsing automation
• Designing LLM-driven workflows that streamline various case management workflows
• Identifying new opportunities where GenAI can radically simplify how we operate

This role blends applied AI engineering, business-process design, and hands-on Python development. You’ll be working on problems that don’t have perfect definitions, where ambiguity is normal and creativity is essential.

In this role, you will

• Build real, production GenAI systems - not demos - that directly shape how a leading fintech operates
• Work with LLMs, retrieval systems, agents, and automation pipelines on a daily basis
• Own your solutions from idea → prototype → production deployment → monitoring
• Work in small, autonomous teams that ship fast and give you real decision-making power
• Redesign legacy processes from scratch using AI instead of patching around them
• Bring curiosity, resourcefulness, and a desire to replace manual work with smarter systems

Key skills

• Strong Python engineering skills , comfortable building production-grade systems
• Hands-on experience using LLMs in real workflows
• Ability to design, evaluate, and iterate on prompts, retrieval pipelines, and agentic flows
• Understanding of business processes and an instinct for simplifying or automating them
• Comfortable working with ambiguity , quickly testing hypotheses, and refining ideas with partial information
• Skilled at breaking poorly defined problems into structured steps and deciding when/how to bring AI into the loop
• Clear communicator who can articulate trade-offs and influence stakeholders

The interview process

• Introductory call
• Take-home exercise
• Walkthrough of your exercise
• Meet the team you’ll work with day-to-day
• Meet our exec team

Life at Lendable

• The opportunity to scale up one of the world’s most successful fintech companies .
• Best-in-class compensation , including equity.
• You can work from home every Monday and Friday if you wish - on the other days, those based in the UK come together IRL at our Shoreditch office in London to be together, build and exchange ideas.
• Enjoy a fully stocked kitchen with everything you need to whip up breakfast, lunch, snacks, and drinks in the office every Tuesday-Thursday.
• We care for our Lendies’ well-being both physically and mentally, so we offer coverage when it comes to private health insurance
• We're an equal-opportunity employer and are looking to make Lendable the most inclusive and open workspace in London

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