Senior AI Software Engineer

Lendable Ltd
London, UK
3 months ago
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Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
4 years minimum
Working hours
Regular working hours
Job source

Tech stack

Application Programming Interfaces (APIs) Artificial Intelligence Amazon Web Services Confluence JIRA Data Governance Github Python (Programming Language) Next.js Software Engineering Systems Integration TypeScript
+12 more
Application Enhancement Tool ReactJS Large Language Models Snowflake Zapier Kubernetes Slack Nintex Gsuite Front End Software Development Software Coding Api Management

Requirements

Senior AI Software Engineer (Internal Automations)* London* Full Time (Permanent)* Remote* AI EngineeringApply for this role## About the roleWe’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 doingBuild 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 appropriateEnable 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 solutionsDeliver 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## What we’re looking forEssential* 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 differenceNice 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 workYou’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

About the company

About LendableLendable is on a mission to build the world’s best technology to help people get credit and save money.* Founded in 2014* Profitable since 2017* Unicorn in 2021* £3.5bn valuation in 2022* Backed by Balderton, Goldman Sachs and Ontario Teachers’ Pension Plan* Loved by customers & employees with top reviews on Glassdoor and TrustpilotSo 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 are held by big banks with dated systems and painful processes.## Life at Lendable* The opportunity to scale up one of the world’s most successful fintech companies* Best-in-class compensation, including equity* You can work from home every Monday and Friday

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Good distractions

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