Sr Software Engineer (Agentic AI), AI & Data Platforms

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. The Developer Experience Platform team is looking for an extraordinary senior software engineer to help lead the design and architecture of our next-gen developer experience platform and accelerate app development across Apple. Description 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. This is a hands-on engineering role with broad technical ownership. You'll help set the architectural direction for our agentic AI platform, driving key design decisions that balance reliability and scale with experimentation and innovation. You'll work with a high degree of autonomy, partner closely with senior engineers and researchers, and help mentor other engineers on the team. The right candidate has deep backend and distributed systems expertise, substantial hands-on experience with AI agents in production, and a track record of driving technical direction on complex systems. Responsibilities: Lead the design and architecture of backend services and orchestration systems that power multi-agent AI workflows Drive technical decisions on integrating large language models (LLMs) into developer tools and services, balancing reliability, latency, and cost at scale Set direction for cloud deployment, CI/CD, and MLOps practices to keep AI services reliable and scalable Partner with researchers, product, and engineering leads to bring new AI capabilities from prototype into production Mentor and provide technical guidance to other engineers, raising the bar on system design and code quality Work directly with developers to understand their needs and shape the roadmap for AI-powered tools Identify and resolve ambiguous, cross-cutting technical problems with minimal oversight Preferred Qualifications Experience deploying and operating services in cloud environments (AWS, GCP, or Azure), including containerization (Docker) and orchestration (Kubernetes), at production scale Deep experience with CI/CD pipelines and MLOps practices for deploying, scaling, and monitoring LLM-powered services Track record building REST or GraphQL APIs, microservices, and event-driven systems as a technical lead Knowledge of vector databases, memory systems, and human-in-the-loop workflows, with experience making architectural tradeoffs among them Experience mentoring engineers and driving technical strategy across ML research, platform engineering, and product teams Strong communication skills, with the ability to influence direction across teams and levels Minimum Qualifications Bachelor's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field, or equivalent practical experience 6+ years of industry experience in software engineering or machine learning, including experience owning systems end-to-end Hands-on experience designing and 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 a proven track record of architecting and building distributed systems, backend services, and APIs in production environments at scale Demonstrated experience leading technical design for complex projects and influencing decisions across teams