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7 дней назад

AI Engineering Intern (iGaming)

Формат работы
onsite
Тип работы
fulltime
Грейд
trainee
Английский
b2
Страна
Malta
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 Engineering Intern (iGaming) (Generative AI/LLM): Supporting the design, development, testing, and documentation of AI-powered prototypes, LLM-based workflows, and automation use cases with an accent on applied AI, agentic solutions, and real operational needs. Focus on experimenting with LangChain-related frameworks, evaluating AI solutions, and building production-ready proof-of-concepts under the guidance of experienced engineers.

Location: Malta

Company

hirify.global operates an iGaming business with a Data Center of Excellence focused on applying AI to real-time business decision-making.

What you will do

  • Support the design, development, testing, and documentation of AI-powered prototypes.
  • Contribute to LLM-based workflows, agentic solutions, and intelligent automation use cases.
  • Participate in experiments and proof-of-concepts addressing operational needs.
  • Work with experienced engineers and stakeholders to translate business needs into practical AI solutions.
  • Learn and apply best practices in AI development, evaluation, and production readiness.

Requirements

  • Currently pursuing or recently completed a BSc or MSc in Computer Science, AI/ML, Data Science, Software Engineering, or a related field.
  • Foundational understanding of generative AI, machine learning, or data science.
  • Basic proficiency in Python and willingness to develop software engineering skills.
  • Interest in LLMs, agentic AI, AI automation, RAG, and frameworks such as LangChain, LangGraph, or Strands.
  • Familiarity with embeddings, retrieval, model evaluation, or prompt engineering.
  • Strong communication, curiosity, proactive learning, and team-based problem-solving skills.

Culture & Benefits

  • Hands-on exposure to AI innovation in iGaming.
  • Collaboration with experienced engineers and stakeholders across the business.
  • Opportunity to build technical skills and understand how AI is adopted in a large international organization.
  • Work within a 1,700-person business operating across seven offices.

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