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6 часов назад

AI Engineer (Python)

100 000 - 150 000
Формат работы
onsite
Тип работы
fulltime
Английский
b2
Страна
Germany
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 Engineer (Python) (AI/ML): Training, testing, and deploying models and data pipelines that generate recommendations for improving brand visibility in AI search with an accent on LLM behavior analysis, production ML infrastructure, and large-scale data processing. Focus on reverse-engineering AI search behavior, integrating models into backend systems, and building reliable pipelines from experimentation through production.

Location: Berlin, Germany; work is on-site

Salary: €100,000–€150,000 per year, plus equity

Company

hirify.global is a Series A startup building AI search visibility and recommendation solutions for brands.

What you will do

  • Train, test, and ship models powering recommendations for improving customer visibility in AI search.
  • Develop algorithms that analyze AI search behavior and turn findings into actionable product recommendations.
  • Own the model lifecycle from experimentation through production deployment.
  • Collaborate with engineering to integrate ML solutions into backend systems.
  • Design and implement pipelines for ingesting, processing, and analyzing large data volumes.

Requirements

  • Proven backend development experience with Python, including APIs, data pipelines, or ML infrastructure.
  • Experience with FastAPI, Docker, and cloud platforms; GCP is preferred.
  • Strong understanding and curiosity about LLMs, including the ability to reverse-engineer AI search behavior.
  • Experience taking projects from research to production in a fast-moving startup environment.
  • Strong problem-solving and communication skills, including the ability to explain complex technical concepts to customers and stakeholders.
  • Experience with Python, SQL, Pandas, NumPy, HuggingFace, PyTorch, TensorFlow, ONNX, and backend data services is relevant to the stack.

Nice to have

  • Open-source contributions.
  • Deployed side or hobby projects.
  • Research papers presented at leading ML or AI conferences.
  • Previous company-building or high-growth startup experience.
  • Fluency in TypeScript.

Culture & Benefits

  • Ownership of challenging work with direct product impact.
  • Equity compensation.
  • Regular team events and off-sites.
  • Paid dinner and Uber home when working late.
  • On-site work in a Berlin office.

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