Senior / Staff GenAI Engineer

AppleCupertino, CA
8d

About The Position

Join Apple’s Data Platform as a Staff GenAI Engineer, where you'll be at the forefront of delivering transformative AI experiences across Apple products, including Apple Music, TV, Sports and many more. You will play a pivotal role in defining and driving the roadmap for Apple Data Platform's GenAI Platform component, which powers the development, evaluation, and deployment of AI agents and applications. This includes building foundational capabilities such as agent orchestration, model configuration, prompt tooling, RAG integration, and inference optimization enabling teams across Apple to rapidly create scalable, context-aware GenAI solutions. You will collaborate closely with cross-functional teams of innovative software engineers, product managers, and engineering leaders to continuously evolve the platform for performance, flexibility, and ease of use.

Requirements

  • 8+ years of software development experience
  • 3+ years of experience as a technical lead, guiding teams through complex design decisions and setting high benchmarks for code quality, performance, and scalability
  • In-depth understanding of large language models (LLMs) and their application in AI-driven solutions, including inferencing, embedding, and knowledge base integration (RAG) for improved data retrieval and contextualization
  • Hands-on experience designing and building GenAI platforms that allow users to create, configure, and deploy AI applications supporting features like agent orchestration, prompt engineering, RAG integration, and model selection
  • Experience building AI agents capable of complex multi-step reasoning and tool usage, with a focus on reliability, traceability, and composability
  • Proven experience in fine-tuning and customizing foundation models to improve task-specific performance and domain alignment
  • Deep knowledge of LLM inference optimization techniques, including prompt tuning, caching, quantization, and latency reduction across different model families
  • Strong programming skills in Python, Java, or similar languages, with an emphasis on AI/ML systems development and platform engineering
  • Demonstrated ability to work cross-functionally and influence product development through a combination of technical leadership and user-centered thinking
  • Passion for operational excellence, automation, and delivering scalable, developer-friendly AI infrastructure
  • B.S, M.S. or PhD Degree in Computer Science/Engineering, or equivalent work experience

Nice To Haves

  • Expertise in AWS Cloud
  • Hands on experience in using Kubernetes as orchestration layer

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What This Job Offers

Job Type

Full-time

Career Level

Mid Level

Number of Employees

5,001-10,000 employees

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