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4 дня назад

Product Engineer (AI)

Формат работы
remote (только Europe)
Тип работы
fulltime
Грейд
senior
Английский
c1
Страна
France/Spain/Belgium
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
Product Engineer (AI): Building the Ops AI Platform, where internal teams create, evolve, monitor, and safely deploy AI agents for large-scale operational automation with an accent on product engineering, LLMs, tool calling, and internal-tools UX. Focus on designing reliable multi-agent systems, implementing human-in-the-loop safeguards, scaling automation from dozens to tens of thousands of daily tasks, and shaping the platform architecture from the ground up.

Location: Remote within France, Belgium, or Spain

Company

hirify.global builds a prevention-focused healthcare insurance platform that integrates insurance, prevention, and care into one user experience.

What you will do

  • Build the Ops AI Platform for creating, evolving, monitoring, and evaluating AI agents.
  • Integrate AI agents into internal tools with context-aware interfaces for reviewing reasoning, actions, and follow-up instructions.
  • Enable non-technical operations users to configure prompts, tools, datasets, tests, evaluations, and replayable workflows.
  • Develop agent capabilities connected to internal business data, external servers, and web dashboards without APIs.
  • Design safety and accuracy mechanisms, including stateful evaluation, progressive rollout, human-in-the-loop validation, and fine-grained permissions.
  • Scale automation from dozens to tens of thousands of operational tasks per day while influencing architecture, mentoring engineers, and contributing to hiring.

Requirements

  • 3+ years of experience in product engineering.
  • Strong full-stack software engineering and systems architecture experience, with a strong backend focus.
  • Fluent English; French is not required.
  • Product-minded, self-directed, pragmatic, collaborative, and eager to learn and teach.
  • Experience with traditional machine learning, LLMs, or MLOps is an advantage.
  • Ability to work remotely from France, Belgium, or Spain.

Nice to have

  • Experience with traditional machine learning, LLMs, or MLOps.
  • Experience with tool calling, human-in-the-loop systems, internal tools UX, or multi-agent architectures.

Culture & Benefits

  • Contract opportunity with a remote-first setup, flexible offices, sponsored coworking hubs, and home-office equipment support.
  • Flexible working hours and vacation policy.
  • MacBook Pro and additional professional equipment provided.
  • Learning and training budget, including books and conference participation.
  • Coaching from day one, extended parental leave, and country-specific commuter benefits.

Hiring process

  • Applications are assessed for potential, curiosity, and fit with the engineering needs.
  • The final engineering team may differ from the initially selected area based on where the candidate can have the most impact.

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