2 months ago
Beijing, ChinaMid Level
Responsibilities
- Develop AI/LLM application services including prompt pipelines, RAG services, workflow orchestration, evidence generation, and reviewer-facing outputs.
- Build and maintain read-only integrations with DOORS, ALM, ClearQuest, Windchill, SOP/document repositories, and DHF repositories.
- Implement agents for requirement-quality checks, traceability analysis, DHF completeness review, defect/change impact analysis, compliance checks, and draft evidence generation.
- Maintain prompt libraries, retrieval pipelines, metadata schemas, source-citation mechanisms, and output templates aligned with approved QMS workflows.
- Implement audit logging, model routing, access control, project isolation, and evidence packaging for controlled AI usage.
- Support OQ/PQ activities with test harnesses, datasets, prompt regression tests, hallucination checks, and workflow validation evidence.
- Partner with SMEs, QA, RA, Software Quality, and Validation teams on use cases, acceptance criteria, and reviewer workflows.
- Optimize performance, reliability, and observability across model calls, document processing, retrieval, and integrations.
- Maintain technical and configuration documentation and contribute to pilot rollouts, feedback loops, and expansion to new use cases.
Requirements
- At least 3 years of experience in software engineering, AI application development, LLM integration, workflow automation, or enterprise systems integration.
- Strong Python programming experience and practical experience with APIs, backend services, structured data processing, and AI/LLM application development.
- Hands-on experience building RAG pipelines, prompt-based applications, evaluation workflows, or agent-style systems.
- Familiarity with vector search, document chunking, metadata filtering, citation generation, and prompt/version management.
- Experience with cloud AI platforms, model APIs, or local/private inference environments in enterprise settings.
- Understanding of logging, testing, reproducibility, access control, and deployment in controlled environments.
- Ability to translate business or QMS requirements into technical workflows and reviewer-facing outputs.
- Strong written and verbal communication skills and ability to document technical solutions clearly.
Tech Stack
Categories
About Philips
Philips builds medical imaging, patient monitoring, image-guided therapy, and connected-care software and devices for hospitals and clinicians, plus select personal health products. Revenue comes from hardware, software, and services, including SaaS via its HealthSuite cloud. Founded in 1891 and headquartered in Amsterdam, Philips is a public company listed in Amsterdam and on the NYSE (PHG), serving health systems worldwide.