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10 часов назад

AI Engineer (Healthcare)

Формат работы
remote (только Europe)/hybrid
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Belgium/Hungary
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Мэтч & Сопровод

Для мэтча с этой вакансией нужен Plus

Описание вакансии

Текст:
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TL;DR

AI Engineer (Healthcare/LLM): Designing and building scalable AI services and intelligent systems for clinical research with an accent on Agentic AI, AI Agents, and LLM-enabled workflows. Focus on designing orchestration layers, fine-tuning models, and optimizing data pipelines for production environments.

Location: Remote (Hungary) or Hybrid (Leuven, Belgium)

Company

hirify.global, part of Thermo Fisher Scientific, provides transformative AI solutions for the pharmaceutical and healthcare industries to improve patient outcomes.

What you will do

  • Design and develop AI-powered applications focusing on Agentic AI and LLM-enabled workflows.
  • Build software services, APIs, and orchestration layers to connect AI models into scalable production solutions.
  • Contribute to the design, training, fine-tuning, evaluation, and deployment of LLMs and ML components.
  • Develop and optimize data pipelines for model training, retrieval, evaluation, and monitoring.
  • Implement testing strategies, benchmarks, and quality controls to ensure system reliability and security.
  • Collaborate with cross-functional teams to translate business requirements into technical AI solutions.

Requirements

  • Bachelor's degree in Computer Science, Engineering, Data Science, or a related field.
  • 3+ years of experience in software engineering, AI engineering, or machine learning.
  • Strong proficiency in Python and experience with AI/ML frameworks such as PyTorch or TensorFlow.
  • Experience integrating LLM capabilities into backend systems and building AI-enabled software.
  • Hands-on experience or strong interest in Agentic AI and multi-step orchestration patterns.
  • Understanding of cloud-based architectures (AWS preferred).

Culture & Benefits

  • Competitive compensation and attractive benefits package.
  • Flexible work arrangements with remote or hybrid options.
  • Focus on security, support, and employee well-being.
  • Opportunity to work on high-impact projects in clinical research.

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