Job Title
Senior Full-Stack Product Engineer
Salary
£70k-£110k + Equity
Company Description
Arva AI is a YC S24 startup backed by Google’s Gradient Ventures with $3M in seed funding, revolutionizing financial crime intelligence. Founded by alumni from Revolut and Google, the team builds autonomous AI agents that automate complex AML, KYB, and KYC operations, cutting costs for financial institutions by 80%.
Job Description
As a Senior Full-Stack Product Engineer at Arva AI, you will lead the development of end-to-end features for our AI-powered compliance platform. You’ll build intuitive interfaces, scale reliable backends, and implement advanced AI systems including LLMs and computer vision. Working directly with founders, you’ll own product outcomes and ship intelligence that replaces decades-old manual processes.
Location
London, UK
Why this role is remarkable
- Join a YC S24 cohort leader backed by Google’s Gradient Ventures and $3M in funding to transform the massive, stagnant financial crime market.
- Work directly with elite founders from Revolut and Google in a high-velocity environment where your work impacts real customers within days.
- Take massive ownership of the entire stack, from product-facing UI to the underlying AI agents and MLops systems powering automated due diligence.
What You Will Do
- Architect and ship full-stack features using TypeScript, React, and Node.js to enhance document fraud detection and web due diligence capabilities.
- Develop sophisticated AI systems, utilizing LLMs and computer vision to automate human-level review tasks with superior accuracy and speed.
- Build and maintain scalable backend infrastructure and CI/CD pipelines to ensure high reliability and rapid deployment cycles for global financial clients.
The ideal candidate
- Holds 4+ years of professional experience in full-stack product engineering, specifically with deep expertise in TypeScript, React, and Node.js.
- Demonstrates hands-on experience with AI/ML technologies, including prompt engineering, fine-tuning large language models, or implementing computer vision solutions.
- Thrives in early-stage startup environments, possessing an outcome-obsessed mindset and the ability to turn complex customer needs into actionable software.
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