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AI Application Engineer

Apple· Software and Services
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Shanghaifull-timePosted 3d ago

About the role

AI Application Engineer within the APO BPR team tasked with designing, implementing, and optimizing AI-driven solutions that deliver measurable impact across supply chain use cases, collaborating with data scientists, business analysts, and development teams to translate AI technologies into real-world applications.

Responsibilities

  • AI Solution Development: Design, develop, and deploy AI-driven applications, across domains, such as machine learning, NLP, and computer vision, addressing both business requirements and end-user needs.
  • End to End Supply Chain Connectivity: Partner with supply chain experts to understand business goals and translate into clear technical specifications and solutions recommendation.
  • Agent Design and Development: Design and implement intelligent agents within multi-agent systems, enabling real-time collaboration based on pre-defined goals, strategies, and data exchanges. Develop agent-based models to optimize decision-making and interactions.
  • MCP Integration: Extend and integrate Multi-Agent Coordination Platforms(MCP) to optimize resource allocation, communication, and decision-making across multiple agents in shared environments.
  • Data Management: Architect, design, build, and maintain data pipelines that connects across internal and external supply chain systems. Enforcing data governance and control is implemented at key matrix levels.
  • Collaboration with Data Science Teams: Collaborate with data scientists to refine algorithms, optimize models, and enhance AI performance, focusing on model tuning, feature selection, and performance benchmarking.
  • Testing and Validation: Conduct rigorous testing and validation of AI models, including unit testing, integration testing, and A/B testing, to ensure accuracy, reliability, and scalability before deployment.
  • Monitoring and Maintenance: Monitor deployed AI models, track performance metrics, and implement continuous improvement strategies, including model re-training and updates based on real-world data and evolving business needs.

Qualifications

  • Bachelor's degree in Computer Science, Engineering, or related field with a minimum of 5+ years of relevant industry experience in AI application development, machine learning, or software engineering.
  • Strong understanding of generative AI models(e.g. LLMs such as GPT, BERT) and their application in real-world solutions, such as chatbots, NLP applications, and content generation.
  • Excellent software engineering skills, with expertise in modular, object-oriented design, and familiarity with industry-standard development processes. Proficiency in Python, PHP, Java, Git preferred.
  • 3+ years of hands-on experience developing multi-agent systems or agent-based modeling, with experience in frameworks like MAS platforms, NetLogo, or AnyLogic.
  • Proven experience in multi-agent coordination platforms (MCP) or related frameworks.
  • Hands-on experience with cloud platforms, such as AWS, Azure, GCP, with expertise in deploying and managing scalable AI Platform.
  • Extensive knowledge and hands-on experience with popular LLMs, such as Gemini, Claude, and GPT, including the ability to fine-tune and optimize these models for specific use cases.
  • Solid understanding of popular AI/ML frameworks(e.g. TensorFlow, PyTorch, scikit-learn) and experience with MCP tools for multi-agent coordination and AI system integration.
  • Curious, self-motivated, and able to drive improvements to model evaluation pipelines and annotation programs.
  • Eagerness and ability to learn new skills and solve dynamic problems in an encouraging and expansive environment.
  • Outstanding communication skills – both written and verbal – with experience presenting to leadership.
  • Comfort with ambiguity, with the ability to structure complex analysis and drive insights through data exploration and strategy research.

Skills

Required:AI solution developmentmulti-agent systemsMCP (Multi-Agent Coordination Platforms)LLMsAI/ML frameworks
Nice to have:cloud platformsmodel evaluation pipelines
Last updated Oct 23, 2026. Interested? Apply on the company site.

About Apple

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