At a Glance
- Tasks: Design and build innovative AI applications that make a real impact on small businesses.
- Company: Join a dynamic fintech company dedicated to supporting the UK’s small businesses.
- Benefits: Flexible work, competitive salary, health perks, and a focus on personal development.
- Other info: Collaborative culture with excellent career growth opportunities and a focus on work-life balance.
- Why this job: Be part of a mission-driven team transforming the financial world with cutting-edge AI technology.
- Qualifications: Experience in full-stack development and a passion for AI/ML technologies.
The predicted salary is between 60000 - 75000 £ per year.
We’re on a mission to back the UK’s small businesses like no one else. Small businesses are the backbone of the economy, and we’re here to help them win. We’ve built a platform that uses clever data to get them the funding they need in minutes, not weeks.
At Funding Circle, we have the restless energy of a fintech start-up with the stability of a public company. It’s a unique mix that gives Circlers the autonomy to take ownership and the scale to make an impact that truly counts. We’re a high-performing team that chooses to lift each other up. We challenge, we champion, and we have each other’s backs because we know that when we stand together, we move faster and build better.
The impact is real: Last year alone, the businesses on our platform generated £7.2bn for the UK economy. Data is core to our mission at Funding Circle to build a better financial world as well as being our key asset that everyone across the organisation has a part to play in making sure that we look after it, allowing us to better support our customers.
Our central data team lives in our Tech org and reports to the VP of Data. In order to strengthen our data maturity and become truly data driven we are committed to:
- Building a strong data culture where data is treated as an asset
- Empowering our circlers to become highly data fluent and confident self-serve users
- Enhancing our world-class data platform
- Creating data products across all domains
- Transforming our business with ML & AI
You will be joining our AI and Machine Learning team, which for the past two years has been at the forefront of leveraging AI to transform our business. Our team is composed of talented platform engineers, data scientists and a Product Manager and we are now looking for AI Engineers to build the applications that our internal and external users will interact with.
This is a strategic, hands-on role created to embed critical full-stack engineering skills directly within our AI/ML experts. Your mission is to bridge the gap between our AI systems and user-facing applications. By adding your expertise, you will help make our team a more self-sufficient unit, capable of moving from concept to production with greater speed and efficiency. You will spearhead the development of flagship GenAI products, across multiple business areas (e.g Product, Underwriting, Sales, Operations) and will own the full product lifecycle, from design and development to production support and maintenance.
Your responsibilities will include:
- Design, build, and maintain full-stack web applications, including front-end development, serverless or containerised back-ends, APIs, and database storage.
- Employ technologies specifically suited to GenAI applications (MCP, Knowledge Bases, Agent to Agent communication, Agent Catalogues, LLM output monitoring and evaluation systems etc.)
- Take ownership of and accelerate the development of flagship GenAI products, like our internal "Customer Profile," to reduce time-to-value and iterate rapidly based on user feedback.
- Collaborate directly with AI/ML engineers, data scientists, product engineers and product managers in a rapid experimentation and prototyping environment.
- Embrace and drive a culture of full lifecycle ownership, taking responsibility for your applications' design, development, ongoing production support, maintenance, and on-call duties.
- Help evolve our cross-functional operating model, establishing robust, repeatable processes and best practices for building end-to-end AI applications.
We are looking for a strong Full Stack Engineer with a passion for product and a curiosity for AI. While some professional experience in the AI/ML space is a requirement, this role is perfectly suited for a product or full-stack engineer who is excited to jump fully into the AI/ML product space and build applications on the cutting edge of these new technologies.
Skills we’d love to see:
- Application Development: Proven expertise in building, testing, and deploying modern full-stack web applications. Strong skills in front-end frameworks (e.g. React), application back-ends (e.g, python, serverless/containerised applications, APIs), and database storage.
- Product Ownership: A product-focused mindset with experience in taking applications from concept to production. Comfortable with full lifecycle ownership, including maintenance and on-call responsibilities.
- Cloud and Infrastructure: Experience with cloud platforms and familiarity with infrastructure concepts (e.g. CI/CD, containerisation, serverless) needed to build scalable and reliable applications.
- Collaboration and Communication: Excellent ability to work effectively in a cross-functional team, managing stakeholders and clearly translating complex technical ideas and user feedback into product features.
- Problem-solving and Initiative: Strong analytical and troubleshooting skills. Excited by the ambiguity of a new, experimental team and able to take ownership to drive initiatives forward.
- AI/ML Interest: A strong interest in and hands-on experience with AI/ML technologies, such as LLM-based applications, RAG, or agent frameworks. The role will require learning and developing this area of knowledge.
- Event-Driven Systems (Bonus): Knowledge of event-driven systems (e.g. Kafka) is a plus. Willingness to learn is a requirement.
We’re building a place where everyone truly feels they belong. Even if your past experience doesn't align perfectly with every requirement, we'd still love to hear from you.
Why join us? We back you to build an incredible career and by joining us, you'll be part of one of The Sunday Times Best Companies to Work For 2026! As a flexible-first employer, we use a "best of both" approach. We’ll see you in our London office to collaborate – with barista coffee and subsidised Just Eat lunches on us!
Our Circler Proposition focuses on five areas:
- Flexibility: We provide a benefit allowance you can tailor to your own life and family.
- Health: This includes private medical and dental, health assessments, and access to a digital GP.
- Wealth: We offer life assurance, share schemes, and financial coaching.
- Development: You get a dedicated annual learning allowance to help you level up.
- Lifestyle: We have electric car and cycle-to-work schemes, plus season ticket loans.
We also have award-winning parental leave policies. We're here to support you through the big life moments, from fertility treatments to new additions to the family.
Ready to join a mission that matters? We’d love to chat!
AI Engineer in London employer: Funding Circle
At Funding Circle, we pride ourselves on being an exceptional employer that champions the growth and well-being of our employees. With a vibrant work culture that fosters collaboration and innovation, we offer flexible working arrangements, competitive benefits, and a strong commitment to personal development. Join us in London, where you can make a meaningful impact on the UK economy while enjoying perks like tailored benefit allowances, health support, and a focus on work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land AI Engineer in London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the AI and fintech space. Attend meetups, webinars, or even just grab a coffee with someone in the industry. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI and full-stack development. This is your chance to demonstrate what you can do beyond your CV, so make it shine!
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios specific to AI engineering. Think about how you can articulate your experience with full-stack applications and your passion for AI. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about joining our mission to support small businesses!
We think you need these skills to ace AI Engineer in London
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with AI and full-stack development. We want to see how your skills align with our mission to support small businesses!
Show Your Passion for AI:Don’t just list your technical skills; share your enthusiasm for AI and machine learning! Tell us about projects you've worked on or technologies you're excited about, as we love seeing that spark.
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language and avoid jargon where possible. We appreciate a well-structured application that gets straight to the point!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Funding Circle
✨Know Your Tech Stack
Make sure you’re familiar with the technologies mentioned in the job description, like React for front-end and Python for back-end. Brush up on your full-stack development skills and be ready to discuss how you've used these technologies in past projects.
✨Show Your Passion for AI/ML
Since this role is all about AI and machine learning, come prepared to talk about your interest in these areas. Share any relevant projects or experiences that demonstrate your hands-on knowledge and enthusiasm for AI technologies.
✨Demonstrate Product Ownership
Be ready to discuss how you've taken applications from concept to production. Highlight your experience with full lifecycle ownership, including maintenance and on-call responsibilities, as this is crucial for the role.
✨Emphasise Collaboration Skills
This position requires working closely with cross-functional teams. Prepare examples of how you've effectively communicated complex technical ideas to non-technical stakeholders and how you’ve collaborated to drive projects forward.