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2 дня назад

Middle R&D Engineer (NLP, LLM, Agentic AI)

Формат работы
remote
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Ukraine
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Middle R&D Engineer (NLP, LLM, Agentic AI): Develop NLP, LLM, and agentic AI solutions and take them from R&D concepts to production-ready architectures with measurable business impact. Focus on designing multi-agent/tool-use systems, retrieval-augmented generation pipelines, and scalable, responsible AI delivery while communicating complex technical progress to stakeholders.

Location: Ukraine

Company

hirify.global builds advanced AI solutions through R&D-focused initiatives.

What you will do

  • Develop NLP, LLM, and agentic AI solutions with high technical quality and real-world applicability.
  • Own the end-to-end R&D and delivery lifecycle from research concepts to production-ready architectures.
  • Design multi-agent architectures, tool-use integrations, and retrieval-augmented generation (RAG) pipelines for complex AI systems.
  • Collaborate with product, engineering, and research teams to align AI innovation with priorities and client needs.
  • Communicate progress, insights, and complex AI concepts clearly to executives and external stakeholders.

Requirements

  • 3+ years of hands-on AI/ML experience, including 2+ years leading R&D and production-grade projects.
  • Expertise in NLP and LLMs: training, fine-tuning, RAG, and large-scale evaluation.
  • Practical experience with agentic AI systems: multi-agent orchestration, tool integration, and autonomous workflows.
  • Advanced Python skills; working knowledge of C++ or Java for performance-critical components.
  • Strong experience with PyTorch, Hugging Face Transformers, LangChain, LlamaIndex, and vector databases.
  • English: Upper-intermediate or higher

Culture & Benefits

  • Work in R&D-focused AI initiatives with a focus on experimentation-to-production impact.
  • Emphasis on scalable and responsible AI adoption across diverse domains.
  • Collaboration across product, engineering, and research teams.
  • Equal opportunity employer.

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