As an AI Research Engineer at Arva AI, you will develop and refine the core models powering automated AML and KYC workflows. You will lead applied ML research, fine-tuning LLMs and vision models to automate 80% of manual human review. Your work directly scales compliance operations for high-growth global fintechs.
AI Research Engineer at Arva AI
Join Arva AI, a YC S24-backed startup revolutionizing financial crime intelligence. As an AI Research Engineer, you’ll work alongside a team of 14 in Central London, including the former financial crime product lead from Revolut. You will be responsible for fine-tuning LLMs, training custom vision models for fraud detection, and building the evaluation infrastructure for systems already processing 100,000+ alerts monthly. This is a high-impact role offering competitive equity and the chance to define the future of compliance.
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Location
London, United Kingdom
Compensation
£80k-£120k + Equity
Company
Arva AI
Role overview
SoftwareLewes, United States
Backed by Google’s AI fund and Y Combinator, Arva AI is revolutionising financial crime intelligence with our cutting-edge AI Agents. By automating manual human review tasks, we enhance operational efficiency and help financial institutions handle AML, KYB and KYC reviews, cutting costs by 80%.
What you will do
- Design and implement rigorous evaluation frameworks, benchmarks, and backtests to quantify model performance and prevent regressions in production compliance workflows.
- Fine-tune large language and vision models for specialized tasks including document fraud detection, web-scale due diligence, and automated report generation.
- Build human-in-the-loop continuous improvement pipelines that leverage analyst feedback to curate datasets and iteratively optimize model accuracy and reliability.
Who this is a fit for
- Has at least 3 years of experience in AI research or engineering with a proven track record of building and deploying agentic systems.
- Possesses deep technical expertise in prompt engineering, model fine-tuning, and working with both LLMs and computer vision models in production.
- Maintains a strong product mindset and the ability to work across the stack, with TypeScript experience being a significant advantage for integration.
Why this role is remarkable
- Join a YC S24 startup backed by Google’s Gradient Ventures that is fundamentally transforming how financial institutions fight crime through agentic AI.
- Work directly with CEO Rhim Shah, formerly the financial crime product lead at Revolut, to solve deep operational bottlenecks in the global banking sector.
- Apply cutting-edge research to a production environment already processing over 100,000 monthly compliance alerts for US and Canadian fintech partners.
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