Tech Stack

Description

You will design and develop platforms that enable fraud investigation teams to resolve issues faster using AI-driven systems. Working with large datasets, you'll build scalable automation tools in collaboration with data scientists and machine learning engineers.

Requirements

• Experience building and operating production systems using large language models or similar AI technologies
• Design systems that manage model behavior and produce consistent, reliable outputs at scale
• Experience with large-scale data pipelines and extracting insights from complex datasets
• Translate business processes into technical solutions with clear scope, milestones, and measurable outcomes
• Contribute to technical direction and support other engineers through design reviews

Responsibilities

• Design and build scalable systems processing large datasets for fraud investigation decision-making
• Lead implementation of automated review systems in partnership with data scientists and ML engineers
• Develop AI-based applications improving speed, accuracy, and consistency of operational workflows
• Define technical approaches for complex projects, breaking them into clear milestones
• Improve system reliability and development efficiency by identifying gaps and implementing solutions