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Apple

Senior / Staff GenAI Engineer

5 days ago• Cupertino, CA
Viewed on February 1, 2026
Apply on company site

About Us

Working at Apple means doing more than you ever thought possible and having more impact than you ever imagined.

• Size: 10000+ employees
• Industry: Technology, Information Technology, Software, Consumer Goods & Services

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The Apple Data Platform team powers data analytics, exploration, and feature engineering that fuel Siri, Search, Music, Maps, i Cloud 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

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By signing up, you agree to our 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

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 .

Client-provided location(s): Cupertino, CAJob ID: apple-200627931-0836_rxr-660Employment Type: OTHERPosted: 2026-01-26T19:12:01Apply on company site

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