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13 часов назад

AI Engineer (LLM)

4 800 - 6 000
Формат работы
hybrid
Тип работы
fulltime
Грейд
middle/senior
Английский
b2
Страна
Finland
Релокация
Finland
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

AI Engineer (LLM): Building and maintaining an agent layer on top of marketing analytics platforms with an accent on LLM agent architecture, context handling, and deterministic tooling. Focus on designing evaluation frameworks, deploying production-ready agent systems, and integrating AI capabilities into existing data pipelines.

Location: Must be based in the Helsinki/Espoo region or willing to relocate to Finland (relocation support provided).

Salary: €4,800–€6,000 per month.

Company

A data-driven marketing analytics company helping retailers and consumer brands grow through Marketing Mix Modelling (MMM) and automated decision support.

What you will do

  • Build and maintain LLM agents for analytics use cases and internal tooling.
  • Design agent architectures that balance context efficiency with deterministic tooling.
  • Develop and run evaluations to measure and improve agent performance and reliability.
  • Integrate agents with internal services, APIs, and MCP servers.
  • Deploy, monitor, and maintain agent systems from prototype to production.
  • Collaborate with Data Scientists and Product teams to turn analytics into trusted AI experiences.

Requirements

  • Must be based in the Helsinki/Espoo region or open to relocating to Finland.
  • Strong Python skills and solid software engineering fundamentals.
  • Hands-on experience building and maintaining LLM agents with agent frameworks.
  • Experience building evaluation frameworks to measure agent reliability.
  • Proactive mindset with the ability to create direction in a fast-moving startup environment.
  • Strong English communication skills.

Nice to have

  • JavaScript and UI/backend experience.
  • MLOps experience bringing AI systems into production.
  • Experience with MCP servers and runtimes.

Culture & Benefits

  • Open, low-hierarchy startup environment with an international team.
  • Flexible work-life balance with a hybrid remote/in-office policy.
  • Comprehensive benefits package including healthcare, lunch, and activity benefits.
  • Five weeks of paid holiday from day one.
  • Options program and opportunities for technical and business growth.

Hiring process

  • 30-minute intro call with a team engineer.
  • One or two interviews including a conversational round and a technical case study.
  • Final meeting with the team.

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