Software Engineer, Payment Risk - Global Payment - Global Payment

What you'll do

• Develop risk-monitoring, anomaly-detection, investigation, and entity-analysis tools, integrating internal risk signals and external intelligence.
• Build and productionize LLM applications and AI agents for intelligence gathering, retrieval, investigation, evidence synthesis, and reporting; evaluate and improve their outputs.
• Design and deliver services, data pipelines, APIs, and end-to-end risk workflows, improving reliability, performance, observability, and data access controls.

What they ask for

• Bachelor's degree in Computer Science, Software Engineering, or a related technical field, or equivalent practical experience.
• Around 5 years of professional software engineering experience, independently designing, delivering, and operating production systems or substantial components.
• Strong proficiency in at least one programming language such as Python, Go, or Java; solid fundamentals in data structures, algorithms, software design, testing, and debugging.
• Experience building backend services, data-intensive applications, or analytical platforms; proficiency in SQL and ability to investigate complex datasets.

Nice to have

• Experience in payments, fraud detection, risk management, trust and safety, or related domains.
• Hands-on experience delivering LLM applications or AI agents, including retrieval-augmented generation, tool calling, workflow orchestration, and model-output evaluation.

Tools

Python, Go, Java, SQL

AI focus

Build and evaluate LLM-powered applications and AI agents for risk analysis and intelligence, including information retrieval, tool-assisted investigation, evidence synthesis, and report generation.