What are the responsibilities and job description for the Sr Software Engineer (Agentic AI), AI & Data Platforms position at Apple, Inc.?
Imagine what you could do here. At Apple, we believe new insights have a way of becoming excellent products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The people here at Apple don't just create products - they create the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it.\\n\\nDeveloper experience platform team is looking for an extraordinary Software engineer to join our team. You will help design, implement various developer front end tools to build our next gen developer experience platform and accelerate app development inside Apple.\\n
The Developer Experience Platform team builds the frameworks, services and AI tools that help Apple's enterprise developers move faster through the software development lifecycle. 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.\n\nThis is a hands-on engineering role with broad impact. You'll contribute to building the backbone of our agentic AI platform, balancing reliability and scale with experimentation and innovation.\n\nThe right candidate has strong backend and distributed systems expertise, practical experience with AI agents, and a focus on building reliable systems.\n
Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field, or equivalent practical experience\n4 years of industry experience in software engineering or machine learning\nHands-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\nStrong 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 environments
Familiarity with deploying and operating services in cloud environments (AWS, Google Cloud Platform, or Azure), including containerization (Docker) and orchestration (Kubernetes)\nExperience with CI/CD pipelines and MLOps practices for deploying, scaling, and monitoring LLM-powered services\nBackground in building REST or GraphQL APIs, microservices, and event-driven systems\nKnowledge of vector databases, memory systems, and human-in-the-loop workflows\nStrong collaboration skills with the ability to work effectively across ML research, platform engineering, and product teams
The Developer Experience Platform team builds the frameworks, services and AI tools that help Apple's enterprise developers move faster through the software development lifecycle. 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.\n\nThis is a hands-on engineering role with broad impact. You'll contribute to building the backbone of our agentic AI platform, balancing reliability and scale with experimentation and innovation.\n\nThe right candidate has strong backend and distributed systems expertise, practical experience with AI agents, and a focus on building reliable systems.\n
Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field, or equivalent practical experience\n4 years of industry experience in software engineering or machine learning\nHands-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\nStrong 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 environments
Familiarity with deploying and operating services in cloud environments (AWS, Google Cloud Platform, or Azure), including containerization (Docker) and orchestration (Kubernetes)\nExperience with CI/CD pipelines and MLOps practices for deploying, scaling, and monitoring LLM-powered services\nBackground in building REST or GraphQL APIs, microservices, and event-driven systems\nKnowledge of vector databases, memory systems, and human-in-the-loop workflows\nStrong collaboration skills with the ability to work effectively across ML research, platform engineering, and product teams