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5 дней назад

Software Engineer - Europe (AI)

Формат работы
remote (только Europe)
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
Europe/Bulgaria
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
Software Engineer - Europe (AI) (Python/C++/CUDA): Designing, building, and scaling inference infrastructure for state-of-the-art open-source AI models with an accent on model serving, performance optimization, and production reliability. Focus on implementing and evaluating models, operating high-scale serving systems, and solving complex efficiency and debugging challenges across GPU infrastructure and APIs.

Location: Remote within the EU

Company

hirify.global builds infrastructure and an inference platform for serving open-source AI models in production, from GPU infrastructure to the API layer.

What you will do

  • Design, develop, and test inference solutions for state-of-the-art AI models.
  • Implement, optimize, and evaluate models using Python, C++, CUDA, and NCCL.
  • Own and operate production model-serving systems, including monitoring and debugging.
  • Build features, improve system performance, and contribute to system design.
  • Participate in code reviews and technical discussions.
  • Explore AI/ML techniques and take ideas from concept to production.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Computer Engineering, or a related field.
  • 3+ years of relevant experience.
  • Strong fundamentals in data structures, algorithms, and software design.
  • Proficiency in Python and experience with AI/ML frameworks such as PyTorch or TensorFlow.
  • Experience building, shipping, maintaining, debugging, and optimizing software systems.
  • Familiarity with AI models, Transformers, Diffusers, Git, and collaborative development workflows.

Nice to have

  • Experience with C++, CUDA, or AI inference.
  • Contributions to open-source machine learning projects.

Culture & Benefits

  • Work on AI model-serving systems for LLMs and multimodal models.
  • Small team with direct customer impact.
  • Opportunity to learn from engineers building high-performance inference systems at scale.
  • Ownership, autonomy, and end-to-end responsibility in a fast-paced environment.
  • Culture focused on initiative, drive, persistence, and continuous improvement.

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