At a Glance
- Tasks: Build cutting-edge AI tools and integrations to enhance developer efficiency.
- Company: Join Lendable, a fast-growing fintech unicorn revolutionising credit access.
- Benefits: Flexible working, health coverage, and a vibrant office culture with free meals.
- Other info: Collaborative environment focused on innovation and personal growth.
- Why this job: Make an immediate impact by shaping AI solutions that streamline processes.
- Qualifications: 4+ years in software engineering with strong AI tooling experience.
The predicted salary is between 70000 - 90000 € per year.
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
We're looking for an AI Engineer to join our AI Engineering team at Lendable to help us enable developers to move faster whilst keeping quality high. Our mission is to bring all the lessons we have learned about AI development so far into one system so everyone can benefit. The system combines our Lendable Coding Agent - pronto, a system for measuring effectiveness of AI and the stability of our systems.
This is a role where you'll be working with our engineers and product managers who build our products. You will improve the developer experience and improve our throughput. You’ll see instant impact with your work and participate in a highly collaborative environment.
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 on top of our cloud closing agent pronto
- 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 make a difference to our engineering output
What we're looking for:
Essential
- 4+ years of software engineering experience
- Proven experience building AI tooling used by others in a commercial environment
- Strong full-stack skills in TypeScript
- Frontend skills with Next.js or React to build an interface for engineers
- Knowledge of MCP (Model Context Protocol)
- Experience shipping containerised software to Kubernetes
- 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 AWS Bedrock or other LLM provider APIs
- Experience with monitoring tools such as Datadog
- Experience with creating guardrails for products: SLOs, DORA metrics
How you'll work:
You’ll be part of a small core team that works with engineering representatives from across the company. We have a vision of how we can accelerate the engineering process with AI and you’ll be working with this group to complete the plan. We will also experiment and adapt the plan as new AI tooling and approaches emerge.
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
This isn't a team where your code disappears into a monolith. 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 engineering efficiency.
High leverage
A small core 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.
Interview process:
- Screening call with Hiring Manager
- Take-home task
- Technical interview based on the task
- Interview with Product Manager
- Final interview with Hiring Manager
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.
Check out our blog!
Senior AI Engineer (AI Engineering) in London employer: Lendable
Lendable is an exceptional employer that empowers its employees to take ownership of their work and make a tangible impact from day one. With a strong focus on innovation, collaboration, and personal growth, team members enjoy a flexible working environment, comprehensive health coverage, and opportunities to shape the future of AI in fintech. The vibrant culture fosters connection through regular social events and a commitment to employee wellbeing, making Lendable a rewarding place to build a meaningful career.
StudySmarter Expert Advice🤫
We think this is how you could land Senior AI Engineer (AI Engineering) in London
✨Tip Number 1
Network like a pro! Reach out to current employees at Lendable on LinkedIn or through mutual connections. Ask them about their experiences and any tips they might have for the interview process. This can give you insider knowledge and make your application stand out.
✨Tip Number 2
Prepare for the technical interview by brushing up on your AI and software engineering skills. Work on relevant projects or contribute to open-source initiatives that showcase your abilities. The more hands-on experience you have, the better you'll perform when it comes to demonstrating your skills.
✨Tip Number 3
Don’t just focus on the technical stuff; be ready to discuss how your work can impact the team and the company. Think about measurable outcomes from your past projects and be prepared to share those during your interviews. Lendable loves candidates who are motivated by making a difference!
✨Tip Number 4
Finally, apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're genuinely interested in joining Lendable and being part of our mission to revolutionise fintech.
We think you need these skills to ace Senior AI Engineer (AI Engineering) in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Senior AI Engineer role. Highlight your relevant experience in AI tooling and software engineering, and don’t forget to mention any specific projects that showcase your skills!
Show Your Passion for AI:We love candidates who are genuinely excited about AI and its potential. Share your thoughts on emerging tools and techniques, and how you’ve applied them in your previous roles. This will show us that you're not just looking for a job, but that you’re passionate about making an impact.
Be Clear and Concise:When writing your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to see your key achievements and skills. We appreciate straightforward communication!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen to join our team at Lendable!
How to prepare for a job interview at Lendable
✨Know Your AI Stuff
Make sure you brush up on your AI knowledge, especially around LLMs and API integrations. Be ready to discuss your past experiences with AI tooling and how you've used it in a commercial environment. This will show that you're not just familiar with the tech but can also apply it effectively.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in previous roles and how you tackled them. Lendable values ownership and impact, so highlight instances where your decisions led to measurable outcomes. Think about how you can demonstrate your ability to design solutions from start to finish.
✨Get Familiar with Their Tech Stack
Before the interview, take some time to understand the tools and technologies mentioned in the job description, like TypeScript, Next.js, and AWS Bedrock. Being able to speak confidently about these will show that you're proactive and genuinely interested in the role.
✨Ask Insightful Questions
Prepare thoughtful questions about Lendable's projects and future plans. This not only shows your enthusiasm for the role but also helps you gauge if the company aligns with your career goals. Asking about their approach to AI tooling and engineering efficiency can spark a great conversation.
