Job
- Level
- Senior
- Job Field
- IT, DevOps, Back End
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Dortmund
- Working Model
- Onsite
Job Summary
In this role, you will transition GenAI prototypes into stable services, develop data pipelines, implement CI/CD processes, and ensure quality through comprehensive testing and monitoring.
Job Technologies
Your role in the team
- Transition of GenAI prototypes (e.g., RAG applications, agents, or tooling) into stable, production-ready services such as APIs, backends, or workers - including architecture, error handling, and technical documentation.
- Building reliable data and document pipelines (Ingestion, Transformation, Indexing/Embeddings, Retrieval) as core components for production-ready AI solutions.
- Development and establishment of comprehensive testing and quality assurance strategies (unit, integration, and end-to-end tests) as well as LLM-specific evaluation and regression mechanisms (Eval-sets, guardrails, versioning).
- Design and operation of CI/CD pipelines, environments (Dev/Test/Prod), and release processes for reliable deployment of GenAI-based services.
- Implementation of modern observability (Logging, Tracing, Metrics, Dashboards, Alerts) as well as the implementation of security and governance standards (Identity/RBAC, Secrets, Policies).
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Our expectations of you
Education
- Completed degree in Computer Science, Business Informatics, or a comparable qualification.
Qualifications
- Solid technical understanding of operation and stability of productive 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, networking fundamentals).
- Structured, quality-oriented working approach as well as the commitment to bring high-quality and scalable GenAI solutions into production.
Experience
- Several years of experience in software engineering, ideally with a focus on Python; additional knowledge of TypeScript, Java, or C# is advantageous.
- Experience in the productive development of backend services, including testing, CI/CD, and integration landscapes.
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Benefits
Work-Life-Integration
Health, Fitness & Fun
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Topics that you deal with on the job
Job Locations
This is your employer
Salzgitter AG
Salzgitter AG is one of the leading steel and technology companies in Europe. The core competencies lie in the production of rolled steel and tubular products as well as their further processing and distribution. Salzgitter AG is one of the leading suppliers of profile and flat steel in Europe.
Description
- Company Size
- 250+ Employees
- Founding year
- 1858
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Industry, Production
Senior Software Engineer GenAI Productization / LLMOps
- Location
- Dortmund
- Working Model
- Onsite
- Diversity
- Open for all genders
