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Generative Ai/agentic Ai Engineer

https://www.soprasteria.com Logo

Sopra Steria

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Location:
Germany , Ulm

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Contract Type:
Not provided

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Salary:

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Job Description:

The area of responsibility is detailed as follows: Development & Implementation: Design, coding, orchestration, and testing of scalable GenAI services, chatbots, and autonomous agents using modern frameworks; On-Premise Operation & Hosting: Deployment and maintenance of LLM infrastructures in our secure on-premise environment (Docker/Kubernetes), including performance optimisation and resource management; Security & Compliance: Ensuring that all developments comply with the strict security guidelines of Airbus Defence and Space; RAG & MCP: Development and optimisation of RAG pipelines for connecting internal knowledge databases as well as implementation of MCP tools for standardised, secure interfaces between AI models and internal tools/data sources; Technical Support & Enablement: Support for internal users, troubleshooting, as well as creation of technical documentation and best practices for the development team; Active participation in the technical roadmap through proofs-of-concept (PoCs) for new AI use cases

Job Responsibility:

  • Development & Implementation: Design, coding, orchestration, and testing of scalable GenAI services, chatbots, and autonomous agents using modern frameworks
  • On-Premise Operation & Hosting: Deployment and maintenance of LLM infrastructures in our secure on-premise environment (Docker/Kubernetes), including performance optimisation and resource management
  • Security & Compliance: Ensuring that all developments comply with the strict security guidelines of Airbus Defence and Space
  • RAG & MCP: Development and optimisation of RAG pipelines for connecting internal knowledge databases as well as implementation of MCP tools for standardised, secure interfaces between AI models and internal tools/data sources
  • Technical Support & Enablement: Support for internal users, troubleshooting, as well as creation of technical documentation and best practices for the development team
  • Active participation in the technical roadmap through proofs-of-concept (PoCs) for new AI use cases

Requirements:

  • Bachelor's Degree in Computer Sciences, Data Science or similar
  • Experience with RAG architectures and MCP
  • Knowledge of CI/CD pipelines is a great advantage
  • Experience with logging & monitoring stack in the server area is an advantage
  • Basic knowledge in cybersecurity for AI systems
  • Python: at least knowledge of detailed functions
  • GenAI Expertise: Proven experience in developing LLM applications, chatbots, and agents
  • Experience with inference frameworks (vLLM, SGLang, etc.)
  • Experience with vector databases (Qdrant, Chroma, etc.)
  • Experience in using AI agents (Claude Code, OpenCode, etc.)
  • Staying up-to-date with all developments in the AI field
  • Infrastructure & DevOps: At least good experience with Docker and Kubernetes in on-premise environments
  • Network Basics: Understanding of network concepts in container environments is desirable
  • Version Control: Confident use of Git is a great advantage
  • German, at least business fluent
  • English, at least proficient

Nice to have:

  • Knowledge of CI/CD pipelines
  • Experience with logging & monitoring stack in the server area
  • Basic knowledge in cybersecurity for AI systems
  • Network Basics: Understanding of network concepts in container environments
  • Version Control: Confident use of Git

Additional Information:

Job Posted:
May 03, 2026

Expiration:
May 05, 2026

Employment Type:
Fulltime
Work Type:
On-site work
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