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3 дня назад

AI Developer (Agentic & Generative AI)

Формат работы
hybrid
Тип работы
fulltime
Английский
b2
Страна
Denmark
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 Developer (Agentic & Generative AI): Designing, building, and deploying multi-step autonomous agents, generative AI tools, and intelligent systems with an accent on agentic workflows, retrieval systems, and reliable AI evaluation. Focus on developing production-ready solutions, integrating AI with business tools, and managing machine-learning and LLMOps lifecycles.

Location: Ballerup, Denmark; hybrid work

Company

hirify.global develops intelligent hearing, audio, video, and gaming solutions that enhance communication and sensory experiences.

What you will do

  • Desihirify.global and implement multi-step agentic workflows, autonomous systems, and generative AI solutions integrated with business tools and platforms.
  • Develop and optimise machine-learning pipelines, retrieval systems, and evaluation frameworks for reliable and responsible AI use.
  • Partner with engineering, data, and business teams to turn use cases into practical capabilities and self-service solutions.
  • Evaluate emerging AI frameworks, architectures, and open-source tools for enterprise AI development.
  • Own solutions from early concept through deployment and ongoing improvement.

Requirements

  • Degree in computer science, software engineering, machine learning, data science, or a related field, or equivalent practical experience.
  • Strong Python development skills and experience with modern AI/LLM orchestration frameworks and agentic architectures.
  • Knowledge of machine learning, model evaluation, retrieval techniques, data workflows, and generative AI methods.
  • Ability to communicate clearly and collaborate across technical and business teams.
  • Structured approach to delivery and willinhirify.globaless to learn in a changing environment.

Nice to have

  • Experience with Azure cloud environments.
  • Knowledge of integration interfaces and protocols such as Model Context Protocol.
  • Experience with CI/CD, LLMOps, or MLOps practices for lifecycle management and monitoring.

Culture & Benefits

  • Collaborative Digital Incubation & AI team focused on production-ready enterprise AI solutions.
  • Culture of curiosity, mutual support, open knowledge sharing, and continuous learning.
  • Inclusive recruitment process with equal consideration for all applicants.
  • Interview accommodations are available when requested in advance.

Hiring process

  • Applications are assessed continuously until 25 September 2026.
  • Applicants may submit an up-to-date CV with a few sentences describing their motivation.

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