Senior / Staff GenAI Engineer
The Apple Data Platform team powers data analytics, exploration, and feature engineering that fuel Siri, Search, Music, Maps, iCloud and many other beloved products in the Apple ecosystem. Our mission is to provide engineers and data scientists with an innovative, reliable, secure, and user-friendly platform for ingesting, storing, processing, and interacting with data, ultimately helping teams derive insights that drive product success. As a Staff GenAI Engineer on the Apple Data Platform group's GenAI Platform team, you'll play a critical role in shaping and scaling the platform that powers AI application development across Apple. You'll architect and build core capabilities such as agent orchestration, model selection, prompt and RAG configuration, and evaluation tooling enabling teams to rapidly create, iterate, and deploy GenAI applications. Your work will also support advanced initiatives like model fine-tuning workflows, and inference optimization, driving a seamless and flexible developer experience for users of the Apple Data Platform Join us and be a part of the Data Platform journey at Apple, where your contributions will that will positively impact Apple's customers and countless teams within Apple.
Description
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.","responsibilities":"Define and drive the technical vision, roadmap, and strategy for Apple Data Platform's GenAI components, enabling scalable development and deployment of AI applications powered by LLMs and agentic workflows
Guide the design and development of platform capabilities such as agent orchestration, RAG integration, LLM model configuration, prompt tooling, and fine-tuning pipelines
Drive efforts around LLM inference optimization, including caching, prompt tuning, and latency improvements, ensuring efficient and cost-effective model usage across applications
Collaborate with engineering, product, and operations teams across Apple to ensure effective adoption of GenAI capabilities in high-impact workflows
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Partner with stakeholders to build reusable AI agents that enhance productivity, automate reasoning tasks, and integrate securely with internal systems and tools
Mentor new hires and fellow engineers, fostering growth in technical depth and platform mindset
Establish best practices and processes that ensure engineering excellence, operational sustainability, and a seamless developer experience
Promote a healthy, inclusive, and innovation-driven team culture with a focus on experimentation, learning, and long-term platform impact
Preferred Qualifications
Expertise in AWS Cloud
Hands on experience in using Kubernetes as orchestration layer
Minimum Qualifications
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
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .
Perks and Benefits
Health and Wellness
Parental Benefits
Work Flexibility
Office Life and Perks
Vacation and Time Off
Financial and Retirement
Professional Development
Diversity and Inclusion
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