Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field, or equivalent practical experience 4+ years of industry experience in software engineering or machine learning Hands-on experience building AI agents with Large Language Models (LLMs), including Retrieval-Augmented Generation (RAG), using frameworks such as LangChain, LangGraph, Pydantic AI, or CrewAI Strong programming skills in multiple languages (e.g., Python, Java, Go, Node.js, or TypeScript), with solid experience designing and developing distributed systems, backend services, and APIs in production environmentsFamiliarity with deploying and operating services in cloud environments (AWS, GCP, or Azure), including containerization (Docker) and orchestration (Kubernetes) Experience with CI/CD pipelines and MLOps practices for deploying, scaling, and monitoring LLM-powered services Background in building REST or GraphQL APIs, microservices, and event-driven systems Knowledge of vector databases, memory systems, and human-in-the-loop workflows Strong collaboration skills with the ability to work effectively across ML research, platform engineering, and product teams. We're creating a new AI-powered developer platform that brings together ai agents and autonomous workflows to support how apps are built across Apple.