Do you love creating elegant solutions to highly complex challenges? Do you intrinsically see the importance in every detail? As part of our Silicon Technologies group, you'll help build AI-driven solutions that solve pressing business challenges. You'll ensure Apple products and services can seamlessly and efficiently handle the tasks that make them beloved by millions. Joining this group means you'll be responsible for crafting and building the technology that fuels Apple's devices.
We are looking for an individual who is passionate about joining Apple's engineering team as a Gen AI Software Engineer to design and build generative AI systems and agentic workflows for our domains.
Description
In this highly visible role, your primary responsibilities will include:
- 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
Minimum Qualifications
Python programming experience
Experience building generative AI applications using LLMs and vector databases
Knowledge of current Gen AI research and techniques in one or more of the following areas: RAG systems, Agentic AI (multi-agent orchestration, tool calling), or Prompt Engineering
Minimum requirement of BS and 3 years of relevant industry experience
Preferred Qualifications
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
Eeo Content
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.
