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Senior GenAI Engineer, Apple Cloud AI

Apple· Software and Services
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Cupertino, CA$150.4k - $277.6kFull-timePosted 3d ago

About the role

Senior GenAI Engineer on the Apple Cloud AI group’s Agent Platform team responsible for architecting and building core GenAI capabilities (agent orchestration, model configuration, prompt tooling, RAG integration, evaluation tooling) to enable scalable, secure, and developer-friendly AI agent platforms across Apple products.

Responsibilities

  • Design and development of platform capabilities such as agent orchestration, agentic RAG, LLM model configuration, prompt optimization tooling, and fine-tuning and RL pipelines that meet the highest standard in security and safety
  • Drive efforts around LLM and Agent optimization, including caching, prompt tuning, and latency improvements, ensuring efficient and cost-effective model usage across agentic systems
  • Define and drive the technical roadmap, and strategy for Apple Cloud AI GenAI components, enabling scalable and secure development and deployment of agentic systems and harnesses
  • 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

Qualifications

  • 4+ years of machine learning and software development experience
  • 1+ years of experience as a technical lead, guiding teams through complex design decisions and setting high benchmarks for code quality, performance, and scalability
  • Hands-on experience designing and building GenAI platforms that allow users to create, configure, and deploy AI Agents 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
  • Experience building and deploying Agent Harnesses, including integrations with Agent Memory and Context, MCP and tools, and runtime secure environments (Agent Sandboxes)
  • In-depth understanding of security primitives for AI Agents and Harnesses including policy enforcement, MCP/tools access control, runtime security, drift and hallucination detection for long horizon agents.
  • 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
  • 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
  • Expertise in 3rd party Cloud Environments (Google Cloud and AWS)
  • Hands on experience in using Kubernetes as orchestration layer
  • Proven experience in customizing foundation models to improve task-specific performance and domain alignment

Skills

Required:Agent orchestrationPrompt engineeringRAG (Retrieval-Augmented Generation)LLM configurationAgent Memory and ContextSecurity and runtime isolationPython
Nice to have:Fine-tuning and RL pipelinesJava

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 as applicable
  • relocation assistance or eligibility for relocation
Last updated Oct 23, 2026. Interested? Apply on the company site.

About Apple

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