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.
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 Python/Java, Spark, and distributed data systems, and if you are motivated by building the scalable data platforms and backend services that sit at the core of a cutting-edge financial crime detection and analytics system, ThetaRay could be your next challenge.
What you'll do
Building large-scale data pipelines and backend services using Python
Developing distributed data processing systems that analyze large financial datasets.
Designing microservices architectures including AI Agent architectures that use tool-calling to automate investigative workflows.
Contributing to modern web applications and UI components using React, Next.js, or Angular
Contributing to scalable distributed architectures and event-driven systems, utilizing standard protocols (like MCP) to connect agents with enterprise data.
Working with distributed databases and scalable storage systems.
Requirements
At least 3 years experience developing data platforms or backend systems using Python/Java.
Experience building data pipelines or working with large-scale data processing frameworks (e.g., Spark, Pandas).
Experience designing microservices architectures, including agentic design patterns (e.g., ReAct).
Experience working with distributed databases (e.g., Elasticsearch, MongoDB, Redis).
Experience working with containerized environments such as Docker and Kubernetes.
Experience contributing to frontend applications using React, Next.js, or Angular.
Experience 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