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10 дней назад

Senior Product Engineer (Agent Training and Evals)

Формат работы
remote (только United_kingdom)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

Текст:
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TL;DR
Senior Product Engineer (Agent Training and Evals) (AI agents and cloud infrastructure): Building scalable infrastructure for capturing, processing, training, benchmarking, and evaluating AI agent traces alongside real human expert work with an accent on distributed systems, orchestration, security, and reliability. Focus on designing 0→1 systems, solving complex scaling and compute challenges, and turning ambiguous customer problems into working products with engineering, product, and AI research.

Location: Remote, UK

Company

hirify.global provides human data infrastructure that connects researchers and companies with participants to support AI development and evaluation.

What you will do

  • Build scalable tooling for capturing and processing data from AI agents and humans performing real-world tasks.
  • Design infrastructure for evaluating AI agents in safe and secure environments.
  • Solve complex problems involving compute, orchestration, scaling, security, and reliability.
  • Develop approaches for training, benchmarking, and evaluating AI agents.
  • Make pragmatic technical decisions in an ambiguous 0→1 environment.
  • Partner with product engineering and AI research to turn customer problems into working products.

Requirements

  • Strong experience building scalable cloud infrastructure or distributed systems.
  • Solid understanding of system deployment, scaling, and security.
  • Hands-on experience integrating and evaluating AI models or agents.
  • Interest in how AI agents are trained, evaluated, and improved.
  • Strong product mindset, communication, collaboration, and ability to work with ambiguity.
  • Experience with Google Cloud Platform, Python, JavaScript or TypeScript, FastAPI, Vue.js, Postgres, Kubernetes, and monitoring or deployment tooling is relevant to the role; Python is useful but not essential.

Nice to have

  • Experience with image, video, or audio processing.

Culture & Benefits

  • Remote working within a mission-driven AI company.
  • Opportunity to work with a human data platform and emerging agentic AI technologies.
  • Competitive salary and benefits.
  • High-ownership, cross-functional work with direct product impact.

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