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.

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