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US AI Software Engineer

Apple

Salary not specified
Nov 9, 2025
Austin, TX, US
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Apple's US Decision Intelligence (DI) team is looking for a talented individual who is passionate about crafting, implementing, and operating AI solutions that have a direct and measurable impact on Apple Sales and its customers.

Requirements

  • 8+ years of experience in Software Development, ML, and/or data science with recent focus on GenAI and LLMs.
  • Strong JavaScript expertise.
  • Experienced in Front-end development using React, and API development with Express.
  • Experience building REST/GraphQL APIs and integrating with external services
  • Proficiency in Python (FastAPI, LangChain, or similar frameworks), prompt engineering, and RESTful API design.
  • Hands-on experience with LLM APIs, embeddings, vector databases, and RAG workflows.
  • Solid grounding in data structures, async programming, and pipeline orchestration.

Responsibilities

  • Design modular APIs, SDKs, and microservices to integrate LLMs, retrieval-augmented generation (RAG), traditional ML models, and data pipelines.
  • Drive interoperability with existing ML systems (e.g., forecasting, attribution, anomaly detection) and support downstream apps like dashboards, web tools, and chat interfaces.
  • Partner closely with data science, engineering, and sales ops to embed context-aware intelligence in decision-making tools.
  • Lead technical decision-making on infrastructure components, embedding safety mechanisms (e.g., autonomy sliders, grounding checks, model monitoring).
  • Build scalable pipelines for multi-modal agent input, memory, and semantic routing.
  • Develop and maintain services that embed GenAI capabilities into production systems.
  • Own parts of the platform API layer connecting LLM agents with user-facing apps.

Other

  • Strong experience articulating and translating business questions into AI solutions.
  • Communicate results and insights effectively to partners and senior leaders, as well as both technical and non-technical audiences.
  • Sound communication skills - adept at messaging domain and technical content, at a level appropriate for the audience.
  • Strong ability to gain trust with stakeholders and senior leadership.
  • Ability to work in a fast-paced, dynamic, constantly evolving business environment.