Senior GenAI Engineer

Apple • Cupertino, CA

104d • $181,100 - $318,400

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

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

Benefits

• Comprehensive medical and dental coverage
• Retirement benefits
• A range of discounted products and free services
• Reimbursement for certain educational expenses — including tuition
• Discretionary bonuses or commission payments
• Relocation assistance

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Industry: Computer and Electronic Product Manufacturing
• Education Level: Master's degree