Apple
Overview
Senior GenAI Engineer – Cupertino, California, United States Software and Services The Apple Data Platform team powers data analytics, exploration, and feature engineering that fuel Siri, Search, Music, Maps, iCloud and many other products. 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, helping teams derive insights that drive product success. As a Staff GenAI Engineer on the GenAI Platform team, you’ll architect and build core capabilities enabling AI application development across Apple. You will shape the platform that supports model orchestration, model configuration, prompt tooling, and evaluation tooling, enabling teams to rapidly create, iterate, and deploy GenAI applications. You’ll also contribute to model fine-tuning workflows and inference optimization to support a seamless developer experience across the Apple Data Platform. Join Apple’s Data Platform to influence how teams across Apple deliver transformative AI experiences for products like Apple Music, TV, Sports, and more. 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 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 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) 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 emphasis on AI/ML systems development and platform engineering Demonstrated ability to work cross-functionally and influence product development through technical leadership and user-centered thinking Passion for operational excellence, automation, and delivering scalable, developer-friendly AI infrastructure B.S, M.S. or PhD in Computer Science/Engineering, or equivalent work experience Preferred Qualifications
Expertise in AWS Cloud Hands-on experience in using Kubernetes as orchestration layer Pay & Benefits
At Apple, base pay is one component of total compensation and is determined within a range. The base pay range for this role is between $181,100 and $318,400, and your base pay will depend on skills, qualifications, experience, and location. Apple employees may participate in discretionary stock programs and employee stock purchase plans. Benefits include comprehensive medical and dental coverage, retirement benefits, product discounts, and education reimbursement, with potential discretionary bonuses or relocation support. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. EEO and Compliance
Apple is an equal opportunity employer 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. Apple participates in the E-Verify program where required by law. Apple is committed to providing reasonable accommodations to applicants with physical and mental disabilities. Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. Some locations may have additional EEO and compliance considerations.
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Senior GenAI Engineer – Cupertino, California, United States Software and Services The Apple Data Platform team powers data analytics, exploration, and feature engineering that fuel Siri, Search, Music, Maps, iCloud and many other products. 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, helping teams derive insights that drive product success. As a Staff GenAI Engineer on the GenAI Platform team, you’ll architect and build core capabilities enabling AI application development across Apple. You will shape the platform that supports model orchestration, model configuration, prompt tooling, and evaluation tooling, enabling teams to rapidly create, iterate, and deploy GenAI applications. You’ll also contribute to model fine-tuning workflows and inference optimization to support a seamless developer experience across the Apple Data Platform. Join Apple’s Data Platform to influence how teams across Apple deliver transformative AI experiences for products like Apple Music, TV, Sports, and more. 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 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 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) 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 emphasis on AI/ML systems development and platform engineering Demonstrated ability to work cross-functionally and influence product development through technical leadership and user-centered thinking Passion for operational excellence, automation, and delivering scalable, developer-friendly AI infrastructure B.S, M.S. or PhD in Computer Science/Engineering, or equivalent work experience Preferred Qualifications
Expertise in AWS Cloud Hands-on experience in using Kubernetes as orchestration layer Pay & Benefits
At Apple, base pay is one component of total compensation and is determined within a range. The base pay range for this role is between $181,100 and $318,400, and your base pay will depend on skills, qualifications, experience, and location. Apple employees may participate in discretionary stock programs and employee stock purchase plans. Benefits include comprehensive medical and dental coverage, retirement benefits, product discounts, and education reimbursement, with potential discretionary bonuses or relocation support. Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program. EEO and Compliance
Apple is an equal opportunity employer 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. Apple participates in the E-Verify program where required by law. Apple is committed to providing reasonable accommodations to applicants with physical and mental disabilities. Apple will consider for employment all qualified applicants with criminal histories in a manner consistent with applicable law. Some locations may have additional EEO and compliance considerations.
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