Lendable is a lending platform that makes borrowing money effortless across loans, credit cards and car finance.
Using technology, we have trimmed the fat from the traditional loan application…
Lendable is a lending platform that makes borrowing money effortless across loans, credit cards and car finance.
Using technology, we have trimmed the fat from the traditional loan application…
Headquarters / Registration: United Kingdom (Lendable Ltd, company number 08828186)
Products: Personal loans, credit cards, car finance (digital platform)
Regulation: Authorised and regulated by the UK Financial Conduct Authority (FCA)
Total funding (reported): USD 291,450,000
Company Overview
Problem Domain
Consumer finance — improving speed, accessibility and transparency of loan issuance through technology.
Founded
2014
Industry
Financial Services
Funding Track Record
Seed- December 2014
£2.5M
Reported seed equity raise in December 2014
- 2021
$49M
Reported close of $49M from impact and development investors
Investor Signal
“Received investment from impact and development investors (examples reported include DFC, EMIIF/DFAT, Calvert Impact Capital, Ceniarth, BIO, FMO, FSD Africa and listings naming the Belgian Investment Company for Developing Countries)”
Founders
What we do
Join the Team
Senior AI Engineer
On-SiteLondon, GB
On-Site • London, GB
Who you are
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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
4+ years of software engineering experience
Strong full-stack skills in Python or TypeScript
Experience shipping containerised software to Kubernetes
Proven experience building AI tooling used by others in a commercial environment
Comfortable working with LLMs, embeddings and AI application patterns
Experience designing and building API integrations
Self-starter who takes ownership end-to-end — from understanding the problem, through design and implementation, to monitoring and iteration
Motivated by impact — you want to see your work used and making a difference
Experience with workflow automation tools (n8n, Zapier, Make or similar)
Familiarity with vector databases (Pinecone, Weaviate, pgvector)
Experience with AWS Bedrock or other LLM provider APIs
Knowledge of MCP (Model Context Protocol)
Frontend skills with Next.js or React for internal tooling
What the job involves
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
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
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
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
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 move the needle
The application process
Screening call with Hiring Manager
Take-home task
Technical interview based on the task
Final interview
Benefits
💸 Best-in-class compensation, including equity
🏠 You can work from home every Monday and Friday if you wish - on the other days we all come together IRL to be together, build and exchange ideas (hybrid)
🍲 Our in-house chefs prepare fresh, healthy lunches in the office every Tuesday-Thursday
🏥 Comprehensive private health insurance (including dental, optometry and general wellbeing)
🚗 EV car scheme (Octopus)
🚲 Cycle to work scheme
🧮 Pension
🌴 25 days of annual leave - excluding bank holidays
🎊 Multiple opportunities to socialise with your team and the wider company
🏋️♀️ 50% off gym memberships at Virgin Active and Nuffield (via Vitality health insurance)
💻 Equipment provided for you to do your best work!
