AI/LLM Application Engineer
Core
Develop, integrate, test, and maintain production-grade AI services and governed workflow agents for a Quality Management System (QMS) platform supporting controlled AI workflows in medical-device R&D.
Role type
Senior AI/LLM Application Engineer
Builds
Production-grade AI services, enterprise integrations, prompt and retrieval pipelines, and governed workflow agents for medical-device R&D quality systems.
Domain
Medical device R&D / Quality Management Systems (QMS)
Deliverable
production ML models | product features
Required skills
Python, API development, backend services, RAG pipeline construction, prompt engineering, vector search, document chunking, metadata filtering, cloud AI platforms, model APIs, audit logging, access control, test harness creation, regression testing, hallucination detection.
Preferred skills
Experience with enterprise systems (DOORS, ALM, ClearQuest, Windchill), DHF repositories, requirement traceability, compliance checks, evidence generation, OQ/PQ activities.
Technologies
Python, APIs, vector search, cloud AI platforms, model APIs, DOORS, ALM, ClearQuest, Windchill
Responsibilities
Develop AI/LLM application services including prompt pipelines and workflow orchestration; Build read-only integrations to enterprise systems; Implement AI agents for compliance checks and evidence generation; Create prompt libraries and retrieval pipelines; Implement audit logging and access control; Support OQ/PQ activities with test harnesses and validation evidence; Partner with SMEs and QA teams to refine use cases.
Seniority
Senior, hands-on IC
