AI Engineer

Lendable; Greater London; Hybrid; GBP 90,000 - 150,000; Full time

Benefits offered by this job

Health coverage

Flexible working

Retirement savings plan

Office meals & snacks

Social events

Job summary

Lendable is building world-class AI-powered fintech systems. This role focuses on applied AI engineering, Python development, and designing scalable AI workflows to automate complex finance-related tasks.

You’ll work on chatbots, document processing, and case-management automation within a fast-growing, autonomous team. You will own the end-to-end lifecycle of AI solutions, from discovery to deployment and monitoring, with opportunities to impact millions of customer interactions across UK and

Qualifications

• Strong engineering skills and production systems experience.
• Hands-on experience using LLMs in real workflows.
• Experience designing prompts, retrieval pipelines, agent workflows and evaluations.

Responsibilities

• Improve the chatbot's quality and expand the account actions it can complete autonomously.
• Expand our in-house document extraction pipelines to make parsing faster and more accurate.
• Design LLM-driven workflows that simplify case management.
• Find new opportunities to replace manual work with effective AI systems.
• Own solutions from discovery and prototyping through deployment, evaluation and monitoring.

Skills

LLM integration

Prompt design

Retrieval pipelines

Agent workflows

Production systems

Python

Cross-functional communication

Tools

Python

LLMs

Job description

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

This role combines applied AI engineering, process design and hands-on Python development. You will work on loosely defined problems, test ideas quickly and turn the strongest ones into reliable services.

In under a year, we built a chatbot across Loans, Credit Cards and Motor Finance that now handles more than 1 million customer chats a year at around a 70% resolution rate. It completes complex account actions autonomously, end to end, and we hold it to the same standard as our best operations agents.

We have also built AI document parsers that process around 500,000 documents a year, and are trialling voice AI on our phone lines. You will help take these systems further and find the next high-impact processes to automate.

What you will do

• Improve the chatbot's quality and expand the account actions it can complete autonomously.

• Expand our in-house document extraction pipelines to make parsing faster and more accurate.

• Design LLM-driven workflows that simplify case management.

• Find new opportunities to replace manual work with effective AI systems.

• Own solutions from discovery and prototyping through deployment, evaluation and monitoring.

What we are looking for

• Strong engineering skills and experience building production systems.

• Hands‑on experience using LLMs in real workflows.

• Experience designing and improving prompts, retrieval pipelines, agent workflows and evaluations.

• An understanding of business processes and good judgement about where AI can simplify or automate them.

• The ability to structure ambiguous problems, test hypotheses and make progress with partial information.

• Clear communication and the ability to explain trade-offs and influence stakeholders.

Why join us

• Work with LLMs, retrieval systems, agents and automation pipelines every day.

• Join a small, autonomous team with meaningful ownership and decision‑making power.

Interview process

1. Introductory call

2. Take-home exercise

3. Take home debrief

4. Case study

5. Onsite final interview

Life at Lendable

• 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

Please note: The availability and details of specific benefits vary by location and role. For more information, please speak to your Talent Partner.

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