About this role
This AI Engineer role suits a pragmatic software professional who wants to build production-grade automation systems and large language model workflows in London. The position involves designing internal artificial intelligence tools, processing documents, and improving conversational agents at a growing financial technology firm.
Role Overview
Lendable is seeking an AI Engineer in London to build and scale applied intelligence systems that automate consumer finance operations. The professional in this position will handle tasks spanning process design, applied engineering, and Python development to turn conceptual ideas into reliable services.
Key Responsibilities
Requirements
Skills and Tools
Salary and Benefits
About the Company
Lendable operates as a financial technology firm in the consumer finance sector, having rebuilt three major consumer finance products covering loans, credit cards, and car finance. The organization maintains a workforce of over 800 people and has been profitable since 2017, with backing from investors such as Goldman Sachs and Balderton Capital.
How to Apply
Interested candidates should submit their application through the official company careers page.
Skills and tech stack
Questions candidates ask
Where is the AI Engineer position located?
The role is based in London, operating under a hybrid working model that requires three days in the office weekly.
What programming language is used for this role?
The position involves hands-on Python development.
What systems has the team already built using AI?
The team has built a customer chatbot that handles over a million chats annually, AI document parsers that process approximately 500,000 documents a year, and trial voice AI phone systems.
What does the interview process consist of?
The interview process includes an introductory call, a take-home exercise, a take-home debrief, a case study, and an onsite final interview.
What benefits are provided with the position?
Benefits include private health cover, retirement savings plans, hybrid office flexibility, office lunches prepared by in-house chefs, and cycle-to-work schemes, though specific details vary by location and role.