About [Employer hidden]

At [Employer hidden], we are on a mission to help fintechs and banks automate and enhance due diligence operations with AI agents. Leading banks and payment companies use us to automate risk investigations they run when onboarding and monitoring business customers in Europe, Middle East, USA and Asia. Our founders have built fraud and credit risk models protecting billions in transactions at Europe’s top fintechs, and we’re taking that experience to revolutionize how financial institutions verify the legitimacy of businesses. With deep expertise in AI-driven risk assessment, we turn unstructured data into powerful insights, helping our customers automate manual reviews, strengthen fraud detection, and improve the onboarding experience for legitimate businesses. We already work with leading fintech unicorns and banks, are growing fast and we’re looking for ambitious problem-solvers who are excited about using AI to tackle financial crime at a global scale. If you're passionate about making a real impact in the fight against fraud, we’d love to have you on our team!

The Role

You are part of the founding team. You’ll play a crucial role in shaping the future of our company - from hands-on engineering and product work, to high-level strategic decisions. As a Founding AI Engineer you’ll work on building our core agent frameworks, innovating on how LLMs are used by enterprises in the financial services industry. You'll be testing, deploying, and scaling delightful AI experiences in addition to ensuring that our outputs are extremely high quality. This role is perfect for someone who is obsessed with language models and wants to spend their time becoming an expert in applied AI.

What we expect

• Within days: Take ownership of your first module and push improvements to production, making an immediate impact on our customers' workflows. Start building the product infrastructure for LLMs, giving [Employer hidden] agents the infrastructure, data sources and tools they need to automate workflows for financial compliance teams. Work directly with customers to solve their problems.
• Within weeks: Bring order to chaos and begin taming the beast of modern machine learning. Lead feedback calls with customers on your modules and own the end customer outcomes. Work directly with the CEO, CTO, and other founding members and mature our engineering practice.
• Within months: Tackle technical and non-technical scaling problems that come with high growth.

Our tech stack

• NodeJS
• Python
• Typescript
• React
• AWS Serverless

About You

• Extremely Curious — We think curious people run the world.
• Hungry and driven — Early stage startup requires readiness to move fast.
• A true owner — Strong sense of ownership and autonomy.
• Humble — Listen actively, embrace feedback, foster collaboration.
• Pragmatic — Build iteratively, focus on getting things done.

Budget

Base salary £75k-£100k. Equity: 0.25 - 0.5%

Interview Process

• Initial application (<2 mins): Submit your LinkedIn or CV
• CTO meet-and-greet (30 mins): Introductory call with Ahmed
• In person session: Technical interview (60-90 mins) with Ahmed
• CEO meet-and-greet (30 mins): Introductory call with Edo
• References and offer: Ideally over dinner!

How to Apply

If you think you’d succeed at the role, apply here or directly via the button.