Software Engineer (GenAi - AI Agents), AI & Data ...

Weekly Hours: 40 Role Number: 200631957-3956 Summary We are looking for a passionate and experienced Software Engineer to help build the foundation of Appleu2019s 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 youu2019re 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, LLMu2019s, 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

Created: 2026-02-06