Software Engineer (GenAi - AI Agents), AI & Data Platforms (AiDP)

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.

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