Germany
Benjamin
Salzgitter Konzern
Senior Software Engineer GenAI Productization / LLMOps (m/f/d)
Germany
Dortmund, North Rhine-Westphalia, Germany
TypeScriptPythonJavaC#
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About the opportunity
World-class
We are looking for a Software Engineer GenAI Productization / LLMOps (m/f/d) for our Dortmund location, starting immediately, within the AI Innovation Hub department.
KHS is a subsidiary of Salzgitter AG. As one of the world's leading manufacturers of filling and packaging machines for beverages and liquid foods, we operate at a world-class level. For over 150 years, our customers have trusted our passionate pioneering spirit and our first-class technologies. But we only remain world-class if we continually find employees who set the same high standards for themselves and the quality of their work as our customers do for KHS. Are you one of them?
YOUR RESPONSIBILITIES *
- Transferring GenAI prototypes (e.g., RAG applications, agents, or tooling) into stable, productive services such as APIs, Backend services, or workers – including architecture, error handling, and technical documentation
- Building reliable data and document pipelines (ingestion, transformation, indexing/embeddings, retrieval) as central components for production-ready AI solutions
- Developing and establishing comprehensive testing and quality strategies (unit, integration, and end-to-end tests) as well as LLM-specific evaluation and regression mechanisms (eval sets, guardrails, versioning)
- Building and operating CI/CD pipelines, environments (Dev/Test/Prod), and release processes for reliable deployment of GenAI-based services
- Implementing modern observability (logging, tracing, metrics, dashboards, alerts) and implementing security and governance standards (identity/RBAC, secrets, policies)
Your Profile *
- Completed degree in Computer Science, Business Informatics, or a comparable qualification
- Several years of experience in software engineering, ideally with a focus on Python; additional knowledge in TypeScript, Java, or C# is a plus
- Experience in the production development of Backend services, including testing, CI/CD, and integration landscapes
- Sound technical understanding of operating and maintaining stable production systems – especially monitoring, alerting, incident readiness, as well as performance and cost awareness
- Practical experience with cloud technologies, preferably Microsoft Azure (identity, secrets management, storage/compute, network fundamentals)
- Structured, quality-oriented approach to work and the ambition to bring high-quality, scalable GenAI solutions into production
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