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:
- 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.
- Developing REST APIs and distributed backend systems using Java and Spring Boot, including AI Agent architectures that use tool-calling to automate investigative workflows.
- Creating modern web applications and reusable UI components using Angular, focused on visualizing complex AI-driven insights and financial crime patterns.
- Contributing to scalable distributed architectures and event-driven systems, utilizing standard protocols (like MCP) to connect agents with enterprise data.
- At least 3 years of experience developing backend systems using Java and Spring Boot.
- Experience building REST APIs and microservices, including agentic design patterns (e.g., ReAct).
- Experience developing frontend applications using Angular for data-heavy platforms.
- Experience working with SQL or NoSQL databases, including utilizing Redis and high-speed caching.
- Experience working in Linux environments and CI/CD pipelines, leveraging AI-assisted development tools (GitHub Copilot) and prompt engineering to accelerate the SDLC.
- Familiarity with prompt engineering for developer tooling, writing effective instructions/context to guide AI code suggestions
- Fluent Spanish and strong English communication skills (written and spoken).
- Please note we require CVs to be submitted in English.
#LI-SB2
Skills Required
- Strong experience developing backend systems using Java and Spring Boot
- Experience building REST APIs and microservices
- Experience developing frontend applications using Angular
- Experience working with SQL or NoSQL databases and Redis
- Experience working in Linux environments and CI/CD pipelines
- Familiarity with prompt engineering for developer tooling
- Fluent in Spanish and strong English communication skills
What We Do
At ThetaRay, we believe that banks no longer have to de-risk when they can expand their cross-border ecosystem safely. ThetaRay is the developer of SONAR, a groundbreaking, AI-powered, transaction-monitoring SaaS solution for cross-border payments that allows banks to expand their business opportunities by achieving safe and reliable cross-border payment monitorisation. ThetaRay's technology is the only packaged SaaS offering that analyzes SWIFT traffic, risk indicators, and client/payer/payee data to detect anomalies indicating money laundering activity across complex, cross-border transaction paths. It is also one of the only AI-driven AML solutions that can be easily integrated and deployed within days, with minimal implementation required. ThetaRay's solution increases detection capabilities for both supervised and unsupervised data and includes profiling and advanced analytics assessments, all in one platform. Financial organizations that rely on highly heterogeneous and complex ecosystems benefit greatly from ThetaRay's unmatchable low false-positive rates.
