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3 дня назад

Senior AI Engineer (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Germany
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Senior AI Engineer (AI/NLP/LLM): Building and operating AI agents, LLM-powered services, multi-agent architectures, and RAG pipelines for a scalable SaaS platform with an accent on open-source LLMs, transformer-based models, and enterprise data. Focus on taking AI applications from experimentation to production, including deployment, monitoring, scalability, and performance optimization.

Location: Mannheim, Germany; hybrid work with three days per week in the office

Company

hirify.global develops SaaS solutions through the hirify.global HUB to improve transparency, efficiency, compliance, and sustainability across global value chains.

What you will do

  • Design, build, and deploy AI agents and agentic systems for global SaaS products.
  • Develop LLM-powered services and multi-agent architectures connecting models, tools, and data sources across complex workflows.
  • Build, fine-tune, and deploy open-source LLMs and transformer-based models for intelligent search, entity resolution, information extraction, and document understanding.
  • Design and operate RAG pipelines and AI services using structured and unstructured enterprise data.
  • Own AI solutions end to end, from experimentation and model selection through deployment, monitoring, optimization, and production operation.

Requirements

  • At least 5 years of professional experience in AI, machine learning, or AI engineering.
  • Strong Python skills and experience building production-grade AI applications.
  • Hands-on experience with LLMs, transformer-based models, and ideally Hugging Face.
  • Experience building AI agents or agentic workflows, with multi-agent systems valued highly.
  • Experience with RAG, tool and function calling, structured outputs, and retrieval or search architectures.
  • Experience deploying AI applications to production, including monitoring, scalability, and performance optimization.

Nice to have

  • Experience fine-tuning or adapting LLMs and transformer models for specific domains or tasks.
  • Experience self-hosting open-source models and working with GPU-based inference infrastructure.
  • Experience with multilingual NLP, large-scale document processing, or enterprise, supply-chain, ESG, and compliance data.

Culture & Benefits

  • Purpose-driven work focused on complex challenges for global industry companies.
  • Collaborative teamwork, open communication, and room for creativity.
  • Hybrid work options and team-building activities with global teams.
  • Personal and professional development opportunities.
  • Sustainable mobility options, team events, and workspaces in Mannheim and beyond.

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