AI Systems Engineer

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.

• 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.

• 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.
• 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.

Have we picked your interest?

Dein HR-Ansprechpartner bei WSCAD

Vanessa Riß

Telefon: +49 8131 3627-340

E-Mail: Jobs@wscad.com

WSCAD GmbH – Office Bergkirchen

Dieselstraße 4

85232 Bergkirchen