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4 дня назад

Generative AI Engineer (NLP)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Vietnam
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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TL;DR
Generative AI Engineer (NLP): Designing and developing end-to-end Generative AI and NLP solutions for real-world business problems with an accent on LLMs, RAG, prompt engineering, Transformers, and deep learning. Focus on building production-grade AI/ML applications with Python, PySpark, and Azure, translating business requirements into measurable outcomes, and evaluating emerging GenAI technologies.

Location: Hybrid in Ha Noi, Vietnam

Company

hirify.global develops technology solutions and provides a professional environment for AI and software engineering work.

What you will do

  • Design and develop end-to-end Generative AI and NLP solutions for business use cases.
  • Build and optimize solutions using LLMs, RAG, prompt engineering, Transformers, and deep learning.
  • Develop production-grade AI/ML models and applications with Python and PySpark.
  • Translate business requirements into practical AI/ML solutions and measurable outcomes.
  • Research emerging GenAI technologies and apply them to relevant use cases.
  • Collaborate with AI, data, and software engineers and communicate technical results to technical and non-technical stakeholders.

Requirements

  • 4+ years of professional experience in Data Science, AI/ML, or a related field; internships, research, and part-time experience do not count toward this requirement.
  • 2+ years of hands-on experience with Generative AI and prompt engineering.
  • Strong hands-on experience with Python and PySpark.
  • Experience building production-grade AI/ML solutions and working with Azure.
  • Strong understanding of NLP, LLMs, and modern AI/ML techniques.
  • Good written and verbal English communication skills.

Nice to have

  • Experience with LLM, RAG, Agentic AI, or end-to-end GenAI applications.
  • Experience in healthcare, insurance, wellness, or digital health.
  • Experience with large-scale data, database-oriented systems, or operating AI solutions in production.

Culture & Benefits

  • Open, dynamic working atmosphere with opportunities to exchange ideas and work creatively.
  • Professional development opportunities and support for certification expenses.
  • Salary reviews 1–2 times per year, with additional increases possible under company policy.
  • 13th-month salary and holiday bonuses according to company regulations.
  • Social insurance, annual health checks, employee and family support policies, and sports and cultural activities.

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