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Ai programmer

London
Diligent (YC W24)
Programmer
Posted: 14 June
Offer description

ABOUT US: At Diligent, 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!


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.


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 Diligent agents the infrastructure, data sources and tools they need to automate workflows for financial compliance teams.
We need someone who has high empathy and is excited by working side-by-side with risk teams to solve critical problems.
Python
Typescript
React
AWS Serverless


Pragmatic — Building something new requires multiple iterations and attempts. Empathetic — You excel at understanding both customer and team needs. CTO meet-and-greet (30 mins): Technical interview (60-90 mins): Deepdive interview with Ahmed focusing on problem solving, coding proficiency, systems design and architecture.
# CEO meet-and-greet (30 mins):

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