You will join a greenfield Internal Automation team of five, building AI-powered tools that supercharge company-wide efficiency. From designing RAG pipelines to creating automated workflows for Finance and Compliance, you will ship high-impact integrations that solve real friction. This is an opportunity to shape the future of AI adoption within a premier London fintech.
AI Engineer at $3.8B Unicorn Fintech
Join a greenfield Internal Automation team at one of the UK’s most successful $3.8B fintech unicorns. As an AI Engineer, you won’t just be doing research; you’ll be building real tools—like RAG pipelines and agentic workflows—that ship within days and save teams hours of work. If you have 4+ years of experience in Python/TypeScript and a passion for LLM tooling, this is your chance to shape how a premier financial technology company adopts AI from the ground up while enjoying a competitive £90k-£110k salary plus equity.
Overview
Role overview
Company
Lendable
$3.8B unicorn fintech helping millions access fairer credit through technology and market-leading customer service.
Backed by Ontario Teachers’ Pension Plan (Teachers’ Innovation Platform), Balderton Capital, FMO, Waterfall Asset Management, Goldman Sachs Growth.
Responsibilities
What you will do
- Build and maintain knowledge base pipelines, MCP integrations, and API connectors that make company data accessible to AI systems across Slack, Jira, and Snowflake.
- Develop internal automation platforms using AWS Bedrock, n8n, and custom Python/TypeScript solutions to remove friction from manual workflows.
- Enable non-technical teams by building reusable templates, guardrails, and rapid app-builder components that allow for safe AI experimentation across the business.
Candidate profile
Who this is a fit for
- Strong Technical Foundation: 4+ years of software engineering experience with proficiency in Python or TypeScript and experience deploying containerized software to Kubernetes.
- AI Application Expertise: Proven experience building commercial AI tooling, including hands-on work with LLMs, embeddings, vector databases, and modern AI application patterns.
- Impact-Driven Owner: A self-starter who takes full ownership from problem discovery to deployment and enjoys working directly with stakeholders to validate solutions.
What makes it remarkable
Why this role is remarkable
- Immediate Impact: Build and ship AI integrations on Monday and see them saving hours for your colleagues by Friday in a high-autonomy environment.
- Greenfield Innovation: Shape a brand-new automation platform from the ground up, utilizing the latest in agentic AI and LLM orchestration without the burden of legacy systems.
- Premier Backing: Join one of the UK’s fastest-growing fintechs, valued at $3.8B, with a 160-strong engineering culture that prizes shipping and learning over perfection.
Jack & Jill
How Jack & Jill work together
Meet Jack
Jack gets to know what you're great at and what you want next, then searches 14 million jobs daily and introduces you directly to hiring managers.
How does this work?
Jack's an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack's network.
If it's a match and the company wants to meet you, they'll make the intro. In the meantime, if you'd like, Jack will send you excellent alternatives.