2 дня назад
Generative AI/Agentic AI Engineer (d/f/m) [26084]
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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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