Software Engineer for GenAI Productization at KHS in Dortmund. Converting GenAI prototypes into stable production services and maintaining data pipelines.
Responsibilities
Transform GenAI prototypes (e.g., RAG applications, agents, or tooling) into stable, production-grade services such as APIs, backends, or workers — including architecture, error handling, and technical documentation
Build reliable data and document pipelines (ingestion, transformation, indexing/embeddings, retrieval) as core components for production-ready AI solutions
Develop and establish comprehensive testing and quality strategies (unit, integration, and end-to-end tests) as well as LLM-specific evaluation and regression mechanisms (evaluation sets, guardrails, versioning)
Build and operate CI/CD pipelines, environments (dev/test/prod), and release processes to ensure reliable deployment of GenAI-based services
Implement modern observability (logging, tracing, metrics, dashboards, alerts) and enforce security and governance standards (identity/RBAC, secrets management, policies)
Requirements
Degree in Computer Science, Information Systems, or a comparable qualification
Several years of experience in software engineering, ideally with a focus on Python; additional experience with TypeScript, Java, or C# is a plus
Experience developing production backend services, including testing, CI/CD, and integration landscapes
Solid technical understanding of operating and stabilizing production systems — particularly monitoring, alerting, incident readiness, and performance- and cost-awareness
Hands-on experience with cloud technologies, preferably Microsoft Azure (identity, secrets management, storage/compute, basic networking)
Structured, quality-oriented working style and a commitment to delivering high-quality, scalable GenAI solutions into production
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