AI Scientist

United States Digital Space LLC

Greater London

Hybrid

GBP 90,000 - 130,000

Full time

2 days ago

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Benefits offered by this job

Flexible working

Hybrid three-days-in-office policy

Private health coverage

Retirement savings plans

Employee referral programme

Office meals & snacks

Sustainable commuting options

Job summary

Lendable is seeking an Applied AI Engineer to advance our AI systems and automate complex financial processes. You will work on lightweight, end‑to‑end AI services, building reliable workflows and expanding chat and document automation capabilities.

You will apply Python development and LLM techniques in production, designing retrieval and agent pipelines, and collaborating with stakeholders to improve business outcomes.

Qualifications

Hands-on experience using LLMs in real workflows.
Experience designing and improving prompts, retrieval pipelines, agent workflows and evaluations.
Understanding of business processes and good judgement about where AI can simplify or automate them.

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

LLMs in real workflows

Prompt design

Retrieval pipelines

Agent workflows

Evaluations

Communication

Python development

LLM integration

Tools

Python

LLM tooling

Job description

About LendableLendable 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 most exciting unicorns with a team of over 800 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: you are trusted to make decisions that drive a material impact on the direction and success of the company from day 1

Work in small teams of exceptional people: Lendies are relentlessly resourceful. We challenge the status quo to solve problems and find smarter solutions

Build the best technology in-house: we use 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 Introductory call

Take‑home exercise

Take home debrief

Case study

Onsite final interview

Life at the company 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