Senior AI Systems Engineer (m/f/d)

Engineering software is at a structural turning point.

For decades, CAD systems have digitized drawing. At WSCAD, we are building the next paradigm: AI-native engineering systems, where AI becomes part of the core operating layer of engineering workflows.

We are looking for a Senior AI Systems Engineer to help build and validate this next-generation platform. You will work on LLM production pipelines, evaluation, retrieval, orchestration, and knowledge graphs — turning engineering intent into structured, checkable, and reliable system behavior.

At WSCAD, AI is not a side project or an isolated feature. This role is about making AI systems work in production: defining where models should and should not make decisions, measuring their quality against real data, and building the technical foundations that make their behavior scalable, reproducible, and trustworthy.

What awaits you – Your responsibilities:

• Own evaluation. Build gold datasets, metrics, and regression tests for quality, stability, and cost. Measure whether model or prompt changes improve or worsen results.
• Design the LLM boundary. Define tool contracts, structured outputs, context, uncertainty handling, and refusal paths.
• Improve retrieval at scale. Strengthen grounding, pattern matching, and duplicate detection, and measure the impact.
• Consolidate orchestration. Improve routing, re-execution, and bounded agent workflows.
• Turn expert knowledge into graph knowledge. Work with electrical engineers to formalize reusable circuit patterns.
• Be a technical sparring partner. Challenge architectural decisions with evidence and help shape the technical direction.

What we expect – Your qualifications:

• Experience shipping and operating a production LLM system, including measurable evaluation using gold data, precision/recall or equivalent metrics, stability, and cost.
• Strong backend engineering skills. Experience with C#/.NET is helpful but not required.
• Experience with graphs, rich engineering schemas, or complex domain models.
• Strong understanding of the difference between prompts, specifications, and measurable system behavior.
• Ability to work across software engineering, electrical engineering, and product.
• Professional proficiency in English and German.

Nice to have:

• Experience with RDF, SPARQL, SHACL, SKOS, named graphs, or triple stores.
• Experience with embeddings, hybrid retrieval, and reranking.
• Experience with LLM observability, tracing, and cost monitoring.
• Familiarity with industrial information models such as IEC 81346, ECLASS, AAS, AutomationML, or ISO 15926.
• Experience with CAD, CAE, PLM, automation, or digital twins.
• Experience with agent frameworks.

Benefits

• A defining role in building a new category of engineering software
• Direct influence on product architecture and strategy
• Highly competitive compensation and a long-term growth path
• A growing company with a motivated team and helpful colleagues
• Flexible working hours and a hybrid working model
• 30 days annual leave
• An individual onboarding programs
• High-quality advanced training
• A good working atmosphere with an open feedback culture
• Benefits package including:
  • Company pension plan (BAV)
  • Capital-forming benefits
  • Employee benefits
  • Ticket Plus® Card (Edenred)
  • JobBike

Have we picked your interest?

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