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1 день назад

AI Engineer

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Sweden
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
AI Engineer (Multi-Agent AI/LLMs): Building multi-agent AI systems and internal products for hardware design, manufacturing, logistics, and supply chain operations with an accent on agent architecture, frontier models, and production reliability. Focus on designing collaborative agent workflows, shaping model behavior through prompt engineering and feedback loops, and optimizing token cost, latency, and system performance.

Location: Stockholm, Umeå, Luleå, or remote; flexible mix of remote and on-site work

Company

Develops multi-agent AI software for hardware design, manufacturing, logistics, and physical product distribution.

What you will do

  • Design and build multi-agent AI systems where agents collaborate to execute complex tasks.
  • Work with frontier models such as Claude, GPT-5, Gemini, and Grok, as well as open-source alternatives.
  • Shape model behavior through prompt engineering, feedback loops, and iterative evaluation.
  • Architect around model limitations and optimize production systems for token cost, latency, and reliability.
  • Build internal AI products and support custom client AI projects.

Requirements

  • Solid experience building real AI agent systems, or exceptional software skills demonstrated through innovative products.
  • Strong Python skills and flexibility with other languages, including TypeScript and Golang.
  • Demonstrable previous work through GitHub, demos, case studies, or other tangible evidence.
  • Practical building experience is valued more than degrees or prestigious employers.
  • Ability to work comfortably in an ambiguous, fast-moving startup environment.

Culture & Benefits

  • Full-time role with a flexible remote and on-site work environment.
  • Competitive salary, paid vacation, and health benefits.
  • Direct impact on products from the first day.
  • Work on challenging problems at the frontier of AI and physical product development.
  • Small team environment with afterworks and off-site activities.

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