Senior Full-Stack Product Engineer (£70K - £110K + 0.30% - 0.50% Equity) at Arva AI

Senior Full-Stack Product Engineer

Salary: £70K - £110K + 0.30% - 0.50% Equity

Company Description: Arva AI - YC-backed startup building AI Agents to scale AML, KYB, and KYC operations

Job Description: As a Senior Full-Stack Product Engineer, you will build and iterate on features for an AI-powered anti-financial crime platform. You will develop document fraud detection, web due diligence tools, and automation systems for model fine-tuning. This role bridges front-end, back-end, and MLops to help financial institutions cut operational costs by 80%.

Location: London, UK

Why this role is remarkable:

• Join a fast-growing Y Combinator S24 startup at an early stage with significant ownership over the company's core AI strategy.
• Work on cutting-edge agentic workflows that automate complex human review tasks, directly impacting the global fight against financial crime.
• Enjoy high-impact perks including bi-annual salary reviews, yearly performance equity refreshes, and the ability to work remotely for four weeks every year.

What you will do:

• Build scalable back-end systems and intuitive front-end interfaces that explain complex AI-driven decisions to compliance officers without overloading them.
• Develop and optimize automated systems for prompt engineering, model fine-tuning (LLMs and vision models), and custom AI model training.
• Iterate rapidly on AI agents to enhance performance, reliability, and explainability while maintaining best-in-class CI/CD and DevOps practices.

The ideal candidate:

• Has 4+ years of professional full-stack experience with a strong proficiency in TypeScript, React, and Node.js.
• Possesses hands on experience in AI/ML, specifically with computer vision, prompt optimization, and adapting pre trained models for specific use cases.
• Exhibits a proactive problem solving mindset and a relentless focus on delivering user centric value in a fast paced startup environment.

Next steps

1. Visit our website.
2. Click 'Talk to Jack'.
3. Talk to Jack so he can understand your experience and ambitions.
4. Jack will make sure Jill (the AI agent working for the company) considers you for this role.
5. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction.
6. If not, Jack will find you excellent alternatives. All for free.