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Product Development Engineer -Agentic AI & Analytics

AMD· Engineering
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Hybrid (Singapore)Full-timePosted 1mo ago

About the role

Engineer to develop software, data, automation, and AI-driven solutions to improve Product Engineering productivity and decision-making. Build tools, analytics, dashboards, and intelligent applications leveraging manufacturing and engineering data.

Responsibilities

  • Design and develop software tools, automation frameworks, and data-driven solutions to improve Product Engineering productivity and execution efficiency.
  • Develop and maintain data pipelines, data models, analytics workflows, and data-quality checks that support engineering operations and decision-making.
  • Analyze engineering and manufacturing data to identify trends, anomalies, risks, bottlenecks, yield opportunities, and improvement actions.
  • Build dashboards, notebooks, reports, and visualizations for KPI tracking, engineering analytics, and management reporting.
  • Develop intelligent applications using machine learning, generative AI, prompt engineering, natural-language processing, anomaly detection, or LLM-based approaches where appropriate.
  • Integrate applications with enterprise and engineering systems through REST APIs to improve data accessibility, traceability, task management, and knowledge sharing.
  • Develop scalable solutions for issue tracking, workflow management, operational reporting, and engineering knowledge retention.
  • Build or support lightweight web applications and user interfaces for analytics, automation, or AI-enabled engineering workflows.
  • Define validation, evaluation, logging, and monitoring approaches to ensure outputs are accurate, traceable, useful, and suitable for engineering use.
  • Collaborate with stakeholders to gather requirements, define architectures, test solutions, support deployment, and drive user adoption.
  • Document designs, implementation steps, test results, user guides, limitations, risk controls, and best practices for maintainability and knowledge transfer.

Qualifications

  • Bachelor’s or Master’s in electrical engineering, computer engineering, or comparable disciplines.

Skills

Required:PythonSQLData VisualizationProfessional Capabilities
Nice to have:Web Application DevelopmentAPI & System IntegrationAgentic AI FrameworksCloud & Data PlatformsLinux & DeploymentDevOps & InfrastructureEngineering Domain KnowledgeCollaboration Tools

Benefits

  • Benefits offered are described: AMD benefits at a glance.
Last updated Oct 22, 2026. Interested? Apply on the company site.
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