Generative AI/Agentic AI Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Generative AI/Agentic AI Engineer (Python/LLM): Designing and implementing scalable GenAI services, chatbots, and autonomous agents with an accent on RAG pipelines and MCP tool implementation. Focus on deploying LLM infrastructures in secure on-premise environments using Docker and Kubernetes.
Location: Must be based in or able to work onsite in Ulm, Germany
Company
is a leading provider of operational systems and a trusted partner for space and defence organisations, combining IT and space data engineering.
What you will do
- Design, code, orchestrate, and test scalable GenAI services, chatbots, and autonomous agents.
- Deploy and maintain LLM infrastructures in secure on-premise environments using Docker and Kubernetes.
- Develop and optimize RAG pipelines and implement MCP tools for standardized, secure interfaces between AI models and internal data.
- Ensure all developments comply with strict security guidelines for the aerospace and defence sector.
- Provide technical support, create documentation, and conduct PoCs for new AI use cases.
Requirements
- Bachelor's degree in Computer Sciences, Data Science, or a related field.
- Proven experience in developing LLM applications, chatbots, and AI agents.
- Proficiency in Python and experience with inference frameworks such as vLLM or SGLang.
- Experience with vector databases (Qdrant, Chroma) and RAG architectures.
- Hands-on experience with Docker and Kubernetes for deployment and scaling in on-premise environments.
- Language: Business fluent German and proficient English are required.
Nice to have
- Knowledge of CI/CD pipelines.
- Experience with server-side logging and monitoring stacks.
- Basic knowledge of cybersecurity for AI systems.
- Understanding of network concepts in container environments.
Culture & Benefits
- Dynamic international working environment.
- Inclusive employer committed to gender diversity and combating discrimination.
- Focus on innovation and professional growth.
- Respectful work environment that values people as the most important asset.
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