Senior AI Engineer in London

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:

• 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.
• Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo.
• 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.

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 move the needle.

Essential What we’re looking for:

• 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.

Nice to have:

• 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.

How You’ll Work

You’ll join a small, focused team where you’ll have real ownership over what you build. Work comes as problem statements with clear direction from the engineering lead and PM — you’ll figure out the "how", design the approach, build it, and make sure it keeps delivering value. We value shipping and learning over perfection. The goal is always to deliver something useful, learn from how it’s used, and improve. You won’t be directly client‑facing, but your work will directly impact colleagues across the business — and you’ll hear about it when something you built makes their day easier.

Why join?

• See your work make a difference – you’ll build something on Monday and see it saving someone time by Friday. Every integration and tool you ship has a direct line to company efficiency.
• High leverage – a small team means your contributions have outsized impact. No layers, fast decisions, real ownership.
• Build new things – we’re building a platform from the ground up, not maintaining legacy systems. You’ll shape how AI gets used across Lendable.
• Work at the frontier – AI tooling is moving fast. You’ll work with the latest in agentic AI, workflow orchestration and LLM tooling — applied to real problems, not just proof‑of‑concepts.

Benefits

• Winning team: the opportunity to scale up one of the world’s most successful fintech companies.
• Flexible working: flexible approach tailored to each role. Hybrid roles require three days in‑office weekly; fully remote roles include regular opportunities for in‑person connection through socials and off‑sites.
• Socials & connection: opportunities and events to come together, socialise, and get to know each other beyond the office walls.
• Health coverage: support for your physical and mental wellbeing, including private health cover.
• Retirement & savings: long‑term financial wellbeing through retirement savings plans.
• Employee referral programme: earn a competitive bonus when you refer successful new team members.
• Office meals & snacks: enjoy a fully stocked kitchen, plus complimentary lunches prepared by in‑house chefs on in‑office days at select locations.
• Sustainable commuting: cycle‑to‑work and electric vehicle salary sacrifice schemes available in select locations.