Diligent

1 Job

5 Employees

About the Company

Fintechs and banks use Diligent AI agents to accelerate and enhance due diligence on business customers. Our product automates routine tasks and reasons through unstructured data to uncover actionable risk signals, enabling faster, smarter decisions.

Listed Jobs

Company Name: Diligent
Job Title: Founding backend engineer
Job Description: About us
At Diligent, we are on a mission to help fintechs and banks catch fraudulent businesses.

We build LLM agents to automate risk investigations during business onboarding and monitoring. For example, we can help investigate the online presence of businesses to detect high-risk activities, identify reputation-compromising signals, comb through news articles to extract new risk insights etc. By turning scattered and unstructured data points into structured, actionable insights, we enable risk teams to make better and faster decisions.

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.
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 Software Engineer at Diligent AI, you’ll be responsible for the development and scaling of our core platform, working closely with enterprise customers, as well as building new zero-to-one initiatives.

What we expect
Within days:
Translate novel LLM capabilities into understandable, intuitive and performant end-user experiences.
Release your first code, we believe in the “You Build It, You Run It” principle
Work directly with customers to solve their problems. We need someone who has high empathy and is excited by working side-by-side with financial crime teams to solve critical problems.
Build integration and product infrastructure for LLMs. Give Diligent AI agents the infrastructure, data sources and tools they need to automate workflows for financial compliance teams.
Within weeks:
Evolve schemas and bring structure to non-deterministic outputs.
Lead customer calls and own 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.
Hire, onboard, and nurture future teammates.
Our tech stack
NodeJS
Python
Typescript
React
AWS Serverless

About you

Extremely Curious — We think curious people run the world. We love those who have an insatiable hunger for more knowledge… about the customer problems, domain knowledge, technical innovations or new ways to approaches to challenges.
Hungry and driven — We are an early stage startup… this is hard and intense work that requires you to be ready to move fast, take bets and find solutions to problems that haven’t really been solved before. it will be tough but extremely rewarding
A true owner — We don’t expect you to be just an employee, you will be part of the founding team. A strong sense of ownership and autonomy is essential - you’ll take full responsibility for your projects from start to finish and you’ll be expected to deal with ambiguity getting things done without overcomplicating solutions.
Humble — You listen actively, embrace feedback and foster a collaborative environment where ideas are shared openly. You are confident in your expertise while recognizing the value of learning from others and adapting to change.

Budget:
Base salary £80k-£110k
Equity: 0.5-2.0%

The interview process ⏳
We are seeking to make our interview as experiential as possible in order for both sides to get the most signal on what it would be like to work together.

Initial application (

London, United Kingdom

On site

31-03-2025