Founding ML engineer

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 Diligent agents the infrastructure, data sources and tools they need to automate workflows for financial compliance teams.
• Work directly with customers to solve their problems. We need someone who has high empathy and is excited by working side-by-side with risk teams to solve critical 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. 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 recognising the value of learning from others and adapting to change.
• Pragmatic — Building something new requires multiple iterations and attempts. You understand that perfect is the enemy of good, and you're able to find practical solutions without overcomplicating things. You focus on getting things done and learning from each iteration.

Budget

• Base salary £75k-£90k
• Equity: 0.5 - 1%

⏳ 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.

1. Initial application (<2 mins): Submit your LinkedIn (or CV) in the application link below
2. CTO meet-and-greet (30 mins): Introductory call with Ahmed — get to know each other a little
3. Technical interview (60-90 mins): Deepdive interview with Ahmed focusing on problem solving, coding proficiency, systems design and architecture.
4. CEO meet-and-greet (30 mins): Introductory call with Edo — get to know each other
5. References and offer: Ideally over dinner!

A meeting lands on your calendar

If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.