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data engineer for AI training environments

Skills

agentic aiaicloudobservability

Description

Описание

The company builds interactive, resettable digital environments where AI agents navigate software, complete tasks, fail, and improve. Its data systems provide a fundamental input for AI systems and training environments.

Задачи

  • Design and build scalable systems for acquiring, ingesting, and integrating large, messy, and varied datasets
  • Develop validation, sanitisation, and PII-removal layers to ensure data safety and quality
  • Solve complex data problems involving duplication, corruption, inconsistent formats, and provenance
  • Make architectural decisions across storage, reliability, observability, security, and cost
  • Ensure reliable, high-quality data availability for AI training environment engineers

Требования

  • Experience building and operating substantial production data systems end-to-end, including architecture, implementation, and production behaviour
  • Strong software engineering fundamentals and hands-on coding experience beyond configuring tools
  • Experience with large, complex, or messy datasets, including unstructured text, web, and machine-generated data
  • Ability to articulate challenges associated with complex datasets
  • Sound judgement across storage, processing, reliability, scalability, and cost
  • Ability to discuss technical trade-offs
  • Comfortable with cloud infrastructure and debugging complex production systems

Условия

Salary up to £200k.

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