AI Engineer

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.
Come and join a mission that matters!

London (Hybrid) | 2 days in the office | Competitive Salary + Benefits

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.

• 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.

• 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,…