About The Position

We are looking for a passionate and experienced Software Engineer to help build the foundation of Apple’s next-generation Generative AI platform. This role blends deep systems thinking, scalable backend development, and cutting-edge GenAI technologies such as Agentic frameworks and Retrieval-Augmented Generation (RAG). You will design and implement large-scale, secure, and highly available systems, while collaborating across teams to drive the future of intelligent experiences. If you’re excited about building production-grade GenAI infrastructure and solving hard distributed systems problems, this is your opportunity to make a lasting impact at scale. DESCRIPTION An ideal candidate should be a strong programmer and a creative problem solver who thrives in a fast-paced environment, working across teams and organizations. You enjoy learning new technologies and have deep interest in either client/systems software design and programming or server side distributed system software development. You take responsibility; you feel a personal stake in the product you ship and for the end-user of it; you communicate responsibilities and scope clearly.

Requirements

  • Bachelor's degree in Computer Science or similar degree or equivalent experience
  • 6+ years of software engineering experience in Java or Python
  • Experience in building, maintaining or enhancing RESTful web services using cloud platforms like AWS or GCP
  • Extensive understanding and experience with Agentic workflows, LLM’s, RAG, and protocols like MCP, A2A
  • Experience with implementation of complex agentic systems using LangGraph, ADK, Claude Code, or similar frameworks
  • Experience working and building MCP servers, extensive experience with prompt engineering and evaluations
  • Experience in designing scalable, highly available distributed systems which can handle high data volumes

Nice To Haves

  • Strong experience working with Gen Ai based systems Agentic frameworks (e.g., LangGraph, ADK, AutoGPT) and RAG (Embedding, Chunking, Search).
  • Experience working with RAG Data ingestion pipelines, Vector DB and data platforms A2A (Agent-to-Agent): Experience building autonomous agent ecosystems where agents negotiate, share context, and delegate tasks via standardized protocols.
  • Deep understanding of REST, GraphQL and gRPC APIs, authentication (OAuth, API keys), and distributed systems
  • Strong grasp of software design principles (SOLID, DRY) and testing frameworks.
  • Security: Knowledge of "Prompt Injection”/ Guardrail defense and secure context handling (PII redaction)
  • Excellent written and oral communication skills on both technical and non-technical topic.
  • Ability to debug complex cross-platform issues and optimize performance.
  • Ability to articulate technical concepts effectively to diverse audiences
  • Self directed, self motivated and detail oriented with ability to come up with good design proposals and thorough analysis of production issues
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