Sr Software Engineer (Developer Advocacy, GenAi), 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.

AI & Data Platforms (AiDP) is IS&T's engine for AI-powered innovation. The team brings together data, application development, and machine learning — including generative AI — along with data services and customer success functions, to help IS&T build solutions more efficiently and streamline the adoption and embedding of generative AI across Apple. The team brings together data, application development, and machine learning — including generative AI — along with data services and customer success functions, to help IS&T build solutions more efficiently and streamline the adoption and embedding of generative AI across Apple.

We are looking for a Generative AI Developer Advocacy Engineer to act as the bridge between our engineering team and the global AI developer community. In this role, you will not just talk about AI—you will build with it. You will create production-ready reference architectures, build compelling proof-of-concept applications, and teach developers how to leverage our platform to build next-generation AI workflows. If you are equally comfortable debugging complex RAG pipelines in Python and presenting to a room of 500 developers, this role is for you.

Minimum Qualifications

• 4+ years of experience as a software engineer, machine learning engineer, or technical developer advocate.
• Hands-on experience building applications using Large Language Models (LLMs). Familiarity with the modern AI stack, including orchestration frameworks (e.g., LangChain, LlamaIndex, Haystack) and vector databases (e.g., Pinecone, Weaviate, Milvus).
• Deep expertise in Python and its ecosystem. Experience with JavaScript/TypeScript is a strong plus for full-stack prototyping.
• A proven track record of writing clear, engaging technical content and presenting complex technical concepts to diverse audiences.
• A genuine desire to help other developers succeed, with the patience to debug community issues and translate them into actionable product feedback.

Preferred Qualifications

• Previous experience contributing to or maintaining open-source AI projects.
• Familiarity with model deployment, fine-tuning, or MLOps infrastructure.
• An existing network or presence within the AI/ML developer community.