6 hours ago
Responsibilities
- Build production-ready generative AI reference architectures and compelling proof-of-concept applications.
- Develop and debug LLM-powered applications and RAG pipelines, primarily in Python.
- Teach developers how to use Apple’s AI platform to create next-generation AI workflows.
- Write clear technical content and present complex AI concepts to diverse audiences.
- Support the AI developer community and translate community issues into actionable product feedback.
Requirements
- At least 4 years of experience as a software engineer, machine learning engineer, or technical developer advocate.
- Hands-on experience building applications with Large Language Models.
- Familiarity with orchestration frameworks such as LangChain, LlamaIndex, or Haystack and vector databases such as Pinecone, Weaviate, or Milvus.
- Deep expertise in Python and its ecosystem.
- JavaScript or TypeScript experience is a strong plus for full-stack prototyping.
- Proven ability to write engaging technical content and present complex technical concepts to diverse audiences.
- Previous contributions to or maintenance of open-source AI projects are preferred.
- Familiarity with model deployment, fine-tuning, or MLOps infrastructure is preferred.
- An existing network or presence in the AI/ML developer community is preferred.
Tech Stack
Categories
About Apple
Apple designs and sells consumer electronics, software, and services for consumers and professionals worldwide, including iPhone, Mac, iPad, Apple Watch, and AirPods, plus platforms like iOS/macOS and services such as the App Store, iCloud, Music, and TV+. Its business combines device sales with services and subscriptions and in-house silicon design. Founded in 1976, Apple is headquartered in Cupertino, California, and trades on NASDAQ as AAPL.