Apple is looking to solve pressing business challenges by building AI-driven solutions that enable Apple products and services to seamlessly and efficiently handle tasks, and the job is to design and build generative AI systems and agentic workflows for Apple's domains
Requirements
- Hands-on experience with agentic AI frameworks (e.g. LangGraph, AutoGen, CrewAI) for building multi-step reasoning and tool-using agents
- Familiarity with integrating Model Context Protocol (MCP) into AI workflows
- Experience building evaluation frameworks for AI systems (retrieval quality, agent performance, LLM outputs)
- Experience in designing and implementing information retrieval systems using embeddings, vector stores (e.g. Milvus, Qdrant), or similarity match & ranking techniques
- Designed and optimized RESTful services
- Comfortable working within Linux/Unix environments
- Python programming experience
Responsibilities
- Designing and implementing generative AI systems including multi-agent workflows, tool calling architectures, LLM orchestration patterns, and reusable AI components
- Building agentic AI solutions that coordinate multiple AI services and tools to solve complex domain-specific problems
- Collaborating with our internal multi-functional teams as well as the AIML organization at Apple to understand domain-specific needs and architect appropriate AI solutions
- Enabling the organization to leverage AI capabilities and drive efficiency in chip delivery
Other
- Minimum requirement of BS and 3 years of relevant industry 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
