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Philips

Makes medical devices and personal health products

GenAI Solutions & Prompt Engineer

AI Application EngineeringConfirmed live in the last 24 hours
Full-timeBengaluru, Karnataka, IndiaNo salary listed

About the Job

Requirements

  • At least 5 years of proven experience in software development and/or test automation within a complex, high-tech environment.
  • Effectively communicate with stakeholders, escalate or remove impediments, support risk management, and drive continuous improvement.
  • B.E./M.C.A. or a university degree in computer science/electronics, with broad technical understanding and interest.
  • 5–10 years of experience in automation and prompt engineering.
  • Coding skills in C# .NET.
  • Practical experience with Claude, ChatGPT, Microsoft Copilot, Copilot Studio, prompt engineering, context engineering, AI agents, retrieval-augmented generation (RAG) concepts, and large language model (LLM) evaluation.
  • Good understanding of system integration, system verification, requirements engineering, test architecture, risk-based testing, traceability, defect management, regression testing, and test automation.
  • Ability to critically assess AI-generated content and simplify complex engineering problems.

Responsibilities

  • Identify, develop, validate, and scale AI-enabled solutions using Claude, ChatGPT, Microsoft Copilot, and AI agents across the System Integration & Verification (SIV) lifecycle.
  • Design, test, optimize, and maintain reusable prompts for Claude, ChatGPT, Microsoft Copilot, and Copilot Studio.
  • Translate SIV engineering needs into structured prompts, AI agents, and end-to-end workflows with suitable human approval points.
  • Create AI-assisted solutions for requirement quality review, test scenario generation, risk-based testing, regression selection, test data, and automation support.
  • Analyze requirements-to-test traceability and identify candidate coverage gaps, duplicates, dependencies, and change impacts for expert validation.
  • Enable defect and field-issue intelligence through classification, clustering, trend detection, similarity analysis, and identification of potential verification gaps.
  • Develop SIV knowledge agents and repositories using approved engineering information, lessons learned, test patterns, and verification guidance.
  • Establish prompt versioning, benchmark datasets, evaluation criteria, regression tests, usage guidance, and adoption training.
  • Collaborate with SIV engineers, test architects, automation teams, domain experts, Quality, Regulatory, Cybersecurity, Privacy, and IT stakeholders.

Desired Qualifications

  • Working knowledge of Python, application programming interfaces (APIs), JavaScript Object Notation (JSON), Power Automate, Microsoft 365, application lifecycle management (ALM) and test-management platforms, continuous integration/continuous delivery (CI/CD) concepts, and data analytics is preferred.
  • Ability to communicate clearly and collaborate across technical and governance functions.

About the Company

Philips

Makes medical devices and personal health products

Philips makes medical equipment and software for hospitals and care providers, along with personal health products for consumers. Its hospital portfolio spans MRI and CT scanners, ultrasound, image-guided treatment systems and patient monitors, while Sonicare and Avent cover oral health and baby care. Clinical software connects medical images and patient data across care teams, and the company earns revenue from equipment, software, maintenance and consumer product sales. It works with health systems through long-term technology and service partnerships, including solutions for care at home. Founded in 1891, Philips is headquartered in Amsterdam, the Netherlands.

Company size
10,001+
Company stage
IPO
Headquarters
Andover, MN
Founded
1891

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