**Weekly Hours:** 40
**Role Number:** 200631957-3956
**Summary**
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.
**Minimum Qualifications**
+ 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
**Preferred Qualifications**
+ 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