At ThetaRay, our purpose is to make the world a safer place by protecting the integrity of the global financial system.
We do this by putting AI at the core of both our technology and our way of working. Our AI-driven solutions help banks and fintech companies worldwide detect and stop serious financial crime, from human trafficking and terrorist financing to sophisticated money laundering, while advanced technology, automation, and AI-driven tools help our teams collaborate smarter, move faster, and continuously improve how we build, deliver, and innovate.
About the role:
We are looking for a Full Stack Engineer to turn expertise, initiative, and bold thinking into real impact on the next generation of AI-driven financial crime detection.
If you combine strong full stack engineering capabilities with hands-on experience in Java, Spring Boot, and modern frontend frameworks, and if you are motivated by designing and building the scalable services and web applications that power a mission-critical financial crime detection platform, ThetaRay could be your next challenge.
Responsibilities:
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Building high-performance Java microservices that process large-scale financial transaction data, incorporating RAG (Retrieval-Augmented Generation) to provide LLMs with grounded context for alert validation.
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Developing REST APIs and distributed backend systems using Java and Spring Boot, including AI Agent architectures that use tool-calling to automate investigative workflows.
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Creating modern web applications and reusable UI components using Angular, focused on visualizing complex AI-driven insights and financial crime patterns.
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Contributing to scalable distributed architectures and event-driven systems, utilizing standard protocols (like MCP) to connect agents with enterprise data.
