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12 дней назад

Software Engineer (AI)

4 700 - 5 900€
Формат работы
onsite
Тип работы
fulltime
Грейд
middle
Английский
b2
Страна
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 (AI): Designing, building, and scaling inference infrastructure for open-source AI models in production with an accent on model serving, performance optimization, and production reliability. Focus on implementing AI systems with Python, C++, CUDA, and NCCL, debugging high-performance workloads, and taking ideas from concept to production.

Location: Sofia, Bulgaria; in-office

Salary: €4,700–€5,900 per month

Company

hirify.global builds AI infrastructure for serving open-source models, from GPU infrastructure through the API layer.

What you will do

  • Design, develop, test, and scale 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 performance, and contribute to system architecture.
  • 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 software engineering experience.
  • Strong fundamentals in data structures, algorithms, and software design.
  • Proficiency in Python and experience with AI/ML frameworks such as PyTorch or TensorFlow.
  • Hands-on 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 and end-to-end ownership.
  • Fast-paced environment with autonomy and opportunities to learn from engineers building high-performance inference systems.
  • Initiative, drive, persistence, and continuous improvement are valued.

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