Назад
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2 дня назад

Principal AI Engineer

2 900 - 4 850
Формат работы
remote (Global)/hybrid/onsite
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify RU Global, списка компаний с восточно-европейскими корнями
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Описание вакансии

Текст:
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TL;DR
Principal AI Engineer (LLM/AI Agents): Building AI-powered features for automating complex operational, financial, and compliance workflows with an accent on LLMs, predictive capabilities, and production-grade cloud solutions. Focus on leading AI engineers, designing agent reasoning and tool-use patterns, deploying ML models, and reducing repetitive operational work through automation.

Location: Worldwide; fully remote, office-based, or hybrid work options are available.

Salary: EUR 2,900–4,850 per month gross. Final compensation depends on experience, location, and professional growth.

Company

hirify.global delivers enterprise digital platforms and works with businesses across FinTech, healthcare, retail, telecom, and other industries.

What you will do

  • Lead and mentor a team of AI Engineers.
  • Design and deliver AI-powered features for operational, financial, and compliance workflows.
  • Automate manual and repetitive processes, including partial automation where full automation is not feasible.
  • Build systems that predict answers from historical knowledge bases and forecast costs from historical data.
  • Develop chatbot-style task automation to improve efficiency for operations teams and customers.

Requirements

  • 5+ years of experience in Data Science, AI, or a related field.
  • Experience as a Lead Engineer, Team Lead, or Architect.
  • Hands-on experience with LLMs, AI agents, LangChain, LangGraph, LangSmith, prompt engineering, RAG, and LLM orchestration.
  • Knowledge of AI agent design patterns, including reasoning, planning, tool use, and memory management.
  • Experience designing, training, and deploying ML models in production with TensorFlow or PyTorch.
  • Strong Python, data analysis, cloud deployment, SDLC, Agile, Git, and complex dataset analysis skills.
  • English: Upper-Intermediate or higher required.

Nice to have

  • Java programming experience.
  • ML fundamentals, MLOps, model versioning, monitoring, and CI/CD experience.
  • Production Python architecture, monorepos, uv, microservices, Gunicorn, and FastAPI.
  • Azure infrastructure as code with Bicep and production-grade AI/LLM deployments.
  • Cloud-based solution architecture and strong LLM/DevOps experience.

Culture & Benefits

  • Remote, office, and hybrid work arrangements.
  • Mentoring, onboarding, professional development, and career growth opportunities.
  • Corporate training portal and certification compensation, including AWS and PMP certifications.
  • Private health insurance and sports activity compensation.
  • Referral program and corporate events.
  • Additional earnings of up to USD 1,000 per month may be included in the annual bonus based on expertise and participation in company activities.

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