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2 дня назад

Generative AI/Agentic AI Engineer (d/f/m) [26084]

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

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TL;DR
Generative AI/Agentic AI Engineer (LLM/RAG/MCP): Designing and implementing scalable GenAI services, chatbots, autonomous agents, and on-premise LLM infrastructures with an accent on RAG pipelines, MCP tools, inference frameworks, and secure deployment. Focus on building Docker/Kubernetes-based AI platforms, integrating internal knowledge and tools, optimizing performance, and meeting strict security requirements.

Location: Ulm, Germany

Company

CS GROUP, together with HE Space and Sopra Steria, provides digital end-to-end systems and engineering services for space and defence organisations.

What you will do

  • Design, code, orchestrate, and test scalable generative AI services, chatbots, and autonomous agents.
  • Deploy and maintain LLM infrastructure in secure on-premise environments using Docker and Kubernetes.
  • Develop and optimize RAG pipelines connecting internal knowledge databases.
  • Implement MCP tools that provide standardized and secure interfaces between AI models, internal tools, and data sources.
  • Optimize infrastructure performance and resource management while ensuring compliance with Airbus Defence and Space security guidelines.
  • Support internal users, troubleshoot issues, create technical documentation, and develop proofs of concept for new AI use cases.

Requirements

  • Bachelor's degree in Computer Science, Data Science, or a related field.
  • Professional experience with RAG architectures, MCP, LLM applications, chatbots, and AI agents.
  • Experience with inference frameworks such as vLLM or SGLang and vector databases such as Qdrant or Chroma.
  • Good experience deploying, scaling, and monitoring Docker and Kubernetes environments on premises.
  • Knowledge of Python and basic cybersecurity concepts for AI systems.
  • Business-fluent German and proficient English are required.

Nice to have

  • Knowledge of CI/CD pipelines, server logging and monitoring stacks, container networking, and Git branching and code review practices.

Culture & Benefits

  • International working environment with more than 2,000 employees worldwide.
  • Work focused on operational systems, space data engineering, and defence organisations.
  • Inclusive workplace committed to gender diversity and respectful collaboration.
  • Opportunity to contribute to technical roadmaps through proofs of concept and new AI use cases.

Hiring process

  • Submit a CV in English through the application portal.
  • Applications are accepted until 28 August 2026.

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