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5 дней назад

AI/ML Engineer (Legal AI)

45 000 - 100 000
Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Страна
Italy
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/ML Engineer (LLM/Legal AI): Building agent-driven and RAG-based AI systems, large-scale search pipelines, and NLP algorithms for complex legal tasks with an accent on LLM post-training, retrieval, and legal document processing. Focus on designing end-to-end evaluations, creating domain-specific datasets with legal experts, and integrating reliable ML systems into production.

Location: Hybrid role based in Milan, Italy, with in-person collaboration at the Milan HQ

Annual salary: €45,000–€100,000, plus equity

Company

Legal AI product company building a platform used by legal professionals across Europe to make legal work faster, clearer, and more reliable.

What you will do

  • Design and build agent-driven and RAG-based AI systems for complex legal tasks.
  • Fine-tune and post-train large language models using supervised and reinforcement learning techniques.
  • Develop and optimize large-scale search and retrieval pipelines for LLM-powered agents.
  • Implement NLP algorithms to extract, structure, and validate information from legal documents.
  • Run end-to-end evaluations, identify bottlenecks, and guide continuous model and product improvements.
  • Collaborate with legal experts, researchers, and engineers to create evaluation protocols and domain-specific datasets.

Requirements

  • Proven expertise building and managing robust machine learning pipelines.
  • Strong Python skills and hands-on experience with LLM research and deep learning systems.
  • Knowledge of full-text search, vector databases, or other large-scale retrieval technologies.
  • Ability to collaborate with legal experts, researchers, and engineers.
  • Strong awareness of current LLM developments, ideally including pre-training or deploying large-scale models in production.
  • Commitment to coding standards, best practices, and rigorous code reviews.

Nice to have

  • Familiarity with MLOps.
  • Experience integrating machine learning models into production backends.

Culture & Benefits

  • Autonomous, focused teams working with high ownership and visible impact.
  • Hybrid work combining remote flexibility with in-person collaboration in Milan.
  • Comprehensive health coverage and meal vouchers.
  • Performance bonuses and an equity package.
  • Team retreats and off-sites.

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