Senior AI Engineer (Internal Automations)

About Lendable

Lendable is on a mission to build the world's best technology to help people get credit and save money. We're building one of the world’s leading fintech companies and are off to a strong start:

• One of the UK’s newest unicorns with a team of just over 700 people

• Among the fastest-growing tech companies in the UK

• Profitable since 2017

• Backed by top investors including Balderton Capital and Goldman Sachs

• Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot)

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 role

We're looking for a hands-on AI Engineer to join our Internal Automation team at Lendable and help us make the whole company more efficient.

Our mission is to supercharge internal teams — from Finance and Compliance to Product, QA and beyond — by building AI-powered tools, integrations and automated workflows. You'll be part of a small team (4 engineers, 1 PM) with a simple goal: remove friction, automate the tedious, and give colleagues back time to focus on high-value work.

This is a role where you'll see the direct impact of what you build. You'll ship an integration and watch it save hours of manual work. You'll build a tool and see a team adopt it the same week. If you're motivated by solving real problems and seeing your work make a tangible difference, this is for you.

We need someone who takes full ownership — not just writing code, but thinking through the problem, designing the solution, shipping it, and making sure it keeps working. You'll own your work from "what should we build?" through to "is it still delivering value?".

You'll also be working at the frontier of AI tooling — building with LLMs, experimenting with new approaches, and figuring out what's possible.

What you'll be doing

Build AI integrations and data sources

• Create connectors and integrations that make company data available to AI systems (Google Workspace, Slack, Jira, GitHub, Snowflake, Confluence and more)

• Build and maintain knowledge base pipelines, MCP integrations and API connections that power AI tooling across the business

• Work with security and data governance requirements to ensure integrations are safe and appropriate

Enable others to build with AI

• Support internal teams to create their own AI-powered data sources, automated workflows and internal tools using rapid app builder tools

• Build templates, guardrails and building blocks that make it easy for non-engineers to experiment safely

• Contribute to our internal automation platform using tools like AWS Bedrock, n8n and custom-built solutions