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3 дня назад

Evaluation Infrastructure Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
France
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Evaluation Infrastructure Engineer (AI): Building and operating the evaluation framework for computer-use agents across web applications, desktop software, and command-line environments with an accent on orchestration, reproducibility, observability, and cost-efficient scaling. Focus on integrating benchmarks, scheduling distributed evaluation workloads, instrumenting systems, and producing reliable results for model release decisions.

Location: Hybrid in Paris, with 3 office days per week; travel to London approximately every 4–6 weeks.

Company

H builds computer-use agents and the models behind them, offering a managed API and deploying agents into enterprise workflows.

What you will do

  • Build and operate the evaluation framework for computer-use agents across web applications, desktop software, and command-line environments.
  • Integrate benchmarks with researchers and forward deployed engineers, and shorten the path for adding new evaluations.
  • Define benchmark standards and build checks that enforce reliable integrations.
  • Improve scheduling, cluster utilization, observability, reproducibility, speed, and cost efficiency.
  • Automate customer workflow measurements so results flow into evaluation harnesses and models.
  • Own a major area such as run scaling, observability, or a related group of benchmarks.

Requirements

  • 5+ years of backend development experience with production Python.
  • Experience building test, QA, or evaluation tooling used by other engineering teams.
  • Experience operating distributed systems on Kubernetes in a public cloud; AWS experience is particularly relevant.
  • Experience shipping systems end to end, including REST or GraphQL APIs and integrations with external services.
  • Knowledge of relational and non-relational databases and message queues such as SQS, RabbitMQ, or Kafka.
  • Experience with metrics, tracing, and monitoring from the beginning of system development.

Nice to have

  • Experience measuring LLM quality or building agents.
  • Experience with Docker, virtual machines, Temporal, Dask, FastAPI, PostgreSQL, Grafana, or Datadog.
  • Experience automating web or desktop software with Playwright, Selenium, or a custom browser extension.
  • Experience setting engineering standards through code review, design review, or mentoring.

Culture & Benefits

  • Close collaboration with researchers and forward deployed engineers.
  • Regular exposure to customer workflows, from individual developers to large companies.
  • Hybrid work in Paris with three office days per week.
  • Approximately one London trip every 4–6 weeks.
  • Competitive compensation package.

Hiring process

  • 30-minute call with the Talent team.
  • 60-minute technical challenge and 60-minute system design interview.
  • 30-minute final conversation with the VP of Engineering, approximately 3.5 hours in total.

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