Software Engineer Content Moderation Platform

Full Time
  • November 17, 2026
  • Employment Info

    JOB  DETAILS

    Requirements
    • Strong experience with modern software engineering practices, including automated testing, continuous delivery and collaborative development.
    • Experience building production software with TypeScript.
    • Experience building software that is maintainable, observable, reliable and able to scale.
    • A solid understanding of software design patterns, web or application architecture and cloud-based systems.
    • Experience working with APIs, data pipelines or distributed systems.
    • Some experience with large language models or artificial intelligence application programming interfaces, or a genuine interest in learning how they can be used responsibly in production systems.
    • Experience using artificial-intelligence-assisted tools to support software delivery, productivity or problem-solving.
    • The ability to communicate clearly with both technical and non-technical people.
    • A strong sense of ownership, curiosity and a willingness to keep learning and improving.
    Responsibilities
    • Design, build, test and document high-quality software in line with REA engineering practices.
    • Build and improve artificial-intelligence-powered detection services, application programming interfaces, data pipelines and supporting tools used for content moderation.
    • Maintain and improve existing systems through feature development, bug fixes and operational improvements.
    • Support production systems, including troubleshooting incidents and taking part in support or on-call rotations where required.
    • Work closely with engineers, product, design and other stakeholders to shape technical direction and deliver reliable and explainable moderation outcomes.
    • Contribute to delivery planning and technical design by considering trade-offs, effort, quality and long-term maintainability.
    • Look for ways to improve products, technology, team processes and ways of working.
    • Keep up with changes in artificial intelligence and large language model technology and help the team understand where new capabilities could be useful.
    • Use artificial-intelligence-assisted development tools thoughtfully to improve productivity and software quality.
    • Support other engineers through code reviews, pairing and day-to-day knowledge sharing.

     

     

     

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