About The Position

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. It takes deeply dedicated, intelligent individuals to maintain and exceed the high expectations at Apple. AiDP Solutions Team is looking for an extraordinary Solutions Engineer to join our team. You will help design and implement our enterprise GenAI strategy to take our enterprise platforms to the next level and help accelerate app development inside Apple. We will be collaborating and working with multi-functional teams and applying algorithms to large-scale data.

Requirements

  • 2+ years of software engineering experience, focused on external facing SDK/CLI/API development.
  • 2+ years of experience in Python, Java, Rust or Go programming.
  • Deep understanding of REST/GraphQL/gRPC APIs, authentication (OAuth, API keys), and distributed systems.
  • Bachelor's degree in Computer Science or equivalent experience.

Nice To Haves

  • Experience with AI/ML workflows (e.g., model deployment, LLM integration) and data platforms (e.g., Snowflake, Spark).
  • Experience with chat systems (e.g., Slack bots, Dialogflow) or agentic frameworks (e.g., LangChain, LangGraph AutoGPT).
  • Strong grasp of software design principles (SOLID, DRY) and testing frameworks (Pytest, Jest).
  • Ability to debug complex cross-platform issues and optimize performance.
  • Ability to articulate technical concepts effectively to diverse audiences.

Responsibilities

  • Design and implement enterprise GenAI strategy.
  • Collaborate with multi-functional teams.
  • Apply algorithms to large-scale data.
  • Build developer APIs and tools that empower developers.
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