Software Engineer (GenAi - AI Agents), AI & Data Platforms (AiDP)
Apple - Sunnyvale, United States of America
Posted Feb 4, 2026
Benefits
- Parental leave
- Not verified
- Non-birth-parent leave
- Not verified
- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
- Not verified
- Verification
- Not verified last checked Jun 13, 2026
- Salary
- Not verified not verified - source not recorded; timestamp not recorded
- 401(k) match
- Listed Source: EMPLR_CONTRIB_INCOME_AMT. source Last checked Jun 13, 2026.
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Schedule
- Shift type
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
- Not stated
Where they hire
State eligibility is not yet verified.
About this role
Software Engineer (GenAi - AI Agents), AI & Data Platforms (AiDP) Sunnyvale, United States of America 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. Leading effort to build large scale, distributed and highly available system and pipelines. Enterprise Agent Orchestration: Architect and implement complex, stateful multi-agent workflows using LangGraph, Google ADK. Working on problems in an agentic context: distributed state persistence, message consensus between agents (A2A), and handling non-deterministic failures in long-running loops, context engineering, agentic memory Work with cross functional teams to drive requirements. Design and implement as per secure guidelines Work with QA to identify
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