Philips

3 weeks ago

AI/LLM Application Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 14 hours agoStatus: Live

Job Summary

Develop and maintain production-grade AI/LLM services for a controlled AI R&D QMS Harness used in medical-device research. Build prompt and retrieval (RAG) pipelines, workflow orchestration, evidence generation, and reviewer-facing outputs with governed, traceable usage. Create integrations to enterprise systems (e.g., requirements and document repositories), implement audit logging and access controls, and support OQ/PQ with testing, regression, and validation evidence.

Location: China

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•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 including 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 evidence generation.
•Create and maintain prompt libraries, retrieval pipelines, metadata schemas, source-citation mechanisms, and output templates aligned with approved QMS workflows.
•Support controlled deployment by implementing audit logging, model routing, access control, project isolation, evidence packaging, and OQ/PQ test harnesses with regression, hallucination checks, and validation evidence.

Key Requirements

•3+ years of experience in software engineering, AI application development, LLM integration, workflow automation, or enterprise systems integration.
•Strong programming experience in Python, with practical experience building AI/LLM application services using APIs, backend services, and structured data processing.
•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 working with cloud AI platforms, model APIs, or local/private inference environments in enterprise settings.

Experience:3+ yearsAI/LLMEnterprise systems integrationMedical-device R&DRAGLLM applicationsVector searchPrivate inference

Skills:CommunicationDocumentationCollaborationAttention to compliancePerformance optimization

Tech Stack:PythonAPIsBackend servicesRAGLLMPrompt pipelinesVector searchDocument chunkingMetadata filteringCitation generationAudit loggingAccess controlDOORSALMClearQuestWindchill

Company Brief

Philips

Global health technology company focusing on diagnostic imaging, patient monitoring, and consumer health products. Philips develops medical devices, healthcare informatics, and solutions to improve patient care and personal well-being.

Industry: HealthTech

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Amsterdam, Netherlands

Founded: 1891

Glassdoor: 3.8

Website LinkedIn

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Philips

3 weeks ago

AI/LLM Application Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 14 hours agoStatus: Live

Job Summary

Location: China

Workplace: Onsite

Employment Type: Full time

Job Function: Data Science & Machine Learning

Seniority: Mid level

Key Responsibilities

•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 including 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 evidence generation.
•Create and maintain prompt libraries, retrieval pipelines, metadata schemas, source-citation mechanisms, and output templates aligned with approved QMS workflows.
•Support controlled deployment by implementing audit logging, model routing, access control, project isolation, evidence packaging, and OQ/PQ test harnesses with regression, hallucination checks, and validation evidence.

Key Requirements

•3+ years of experience in software engineering, AI application development, LLM integration, workflow automation, or enterprise systems integration.
•Strong programming experience in Python, with practical experience building AI/LLM application services using APIs, backend services, and structured data processing.
•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 working with cloud AI platforms, model APIs, or local/private inference environments in enterprise settings.

Experience:3+ yearsAI/LLMEnterprise systems integrationMedical-device R&DRAGLLM applicationsVector searchPrivate inference

Skills:CommunicationDocumentationCollaborationAttention to compliancePerformance optimization

Tech Stack:PythonAPIsBackend servicesRAGLLMPrompt pipelinesVector searchDocument chunkingMetadata filteringCitation generationAudit loggingAccess controlDOORSALMClearQuestWindchill

Company Brief

Philips

Industry: HealthTech

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Amsterdam, Netherlands

Founded: 1891

Glassdoor: 3.8

Website LinkedIn