**Job title:**
As an important member of the R&D team, the AI/LLM Application Engineer will develop, integrate, test, and maintain the AI R&D QMS Harness platform used to support controlled AI workflows in medical-device R&D. The role focuses on building production-grade AI services, enterprise integrations, prompt and retrieval pipelines, and governed workflow agents that improve quality-system efficiency without bypassing formal QMS controls.
**Your role:**
+ Develop AI/LLM application services for the controlled AI Harness, including prompt pipelines, RAG services, workflow orchestration, evidence generation, and reviewer-facing outputs.
+ Build and maintain read-only integrations to enterprise systems such as DOORS, ALM, ClearQuest, Windchill, SOP/document repositories, and DHF repositories.
+ Implement AI agents for requirement-quality checks, traceability gap detection, DHF completeness review, defect/change impact analysis, compliance checks, and draft evidence ge...