Senior AI Engineer (AI Engineering)

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

We're looking for an AI Engineer to join our AI Engineering team at Lendable to help us enable developers to move faster whilst keeping quality high.

Our mission is to bring all the lessons we have learned about AI development so far into one system so everyone can benefit. The system combines our Lendable Coding Agent - pronto, a system for measuring effectiveness of AI and the stability of our systems.

This is a role where you'll be working with our engineers and product managers who build our products. You will improve the developer experience and improve our throughput. You’ll see instant impact with your work and participate in a highly collaborative environment.

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 on top of our cloud closing agent pronto

• 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

Deliver measurable impact

• Work closely with the PM and engineering lead to identify the highest-leverage opportunities

• Ship quickly, measure outcomes (time saved, errors reduced, adoption) and iterate based on what you learn

• Stay curious about emerging tools and techniques — and apply them where they'll genuinely make a difference to our engineering output

What we're looking for

Essential

• 4+ years of software engineering experience

• Proven experience building AI tooling used by others in a commercial environment

• Strong full-stack skills in TypeScript

• Frontend skills with Next.js or React to build an interface for engineers

• Knowledge of MCP (Model Context Protocol)

• Experience shipping containerised software to Kubernetes

• Comfortable working with LLMs, e