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2 дня назад

Product Engineer (AI)

5 600 - 7 600
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Lithuania
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Product Engineer (AI) (Fullstack/LLM): Building and shipping AI-native product tools for millions of creators and entrepreneurs with an accent on end-to-end ownership, full-stack development, and AI-assisted engineering. Focus on integrating LLM-powered features and AI agents, solving ambiguous product problems, and measuring user and business outcomes.

Location: Hybrid in Vilnius or Kaunas, with the option to work from home or anywhere in the world.

Salary: €5,600–€7,600 gross per month, based on experience and competence.

Company

hirify.global provides web hosting and online tools to more than 5.5 million clients across 150 countries.

What you will do

  • Own customer problems end to end, from identifying pain points through production delivery and impact measurement.
  • Build across the frontend, backend, and infrastructure layers as required by the problem.
  • Use AI agents for coding, analysis, testing, and iteration.
  • Collaborate directly with designers, product managers, data specialists, and engineers in autonomous squads.
  • Identify team bottlenecks and improve engineering workflows through automation and delegation to AI agents.

Requirements

  • 5+ years of experience building and shipping products used by real users.
  • Full-stack experience with Node backend and Vue, React, or Angular frontend development.
  • Demonstrated experience using AI tools in a real engineering workflow and shipping meaningful results with AI assistance.
  • Strong product mindset, comfort with ambiguity, and the ability to communicate technical decisions to non-technical stakeholders.
  • Experience with REST APIs, PostgreSQL or MySQL, TypeScript, and disciplined testing.

Nice to have

  • Message queuing with RabbitMQ, BullMQ, or GCP Pub/Sub.
  • Vue 3 Composition API and Pinia.
  • Kubernetes, Docker, and CI/CD exposure.
  • Production experience building or integrating LLM-powered features or AI agents.
  • Grafana, Prometheus, monorepo, or Vite experience.

Culture & Benefits

  • High-autonomy environment with evolving scope and minimal guidance.
  • Flexible work from modern offices in Vilnius and Kaunas, home, or anywhere in the world.
  • Learning opportunities through Reforge, CoachHub, global conferences, and physical and digital libraries.
  • Health insurance from day one, gym memberships, recharge leave, Headspace, and regular health checks.
  • Wellbeing events, sports, arts, hobby clubs, and company celebrations.

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