We are looking for a passionate and experienced Software Engineer to help build the foundation of Apples 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 youre 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 Agent Orchestration: Architect and implement complex stateful multi-agent workflows using LangGraph Google 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 memorynWork with cross functional teams to drive and implement as per secure guidelinesnWork with QA to identify issues and fix aspects of the job include mentoring and providing feedback to junior developers working with the team manager and PM in estimating scope and team capacity responding to urgent requests from executives or business needs and maintaining the stability and high reliability of our systems.
Bachelors degree in Computer Science or similar degree or equivalent experiencen6 years of software engineering experience in Java or PythonnExperience in building maintaining or enhancing RESTful web services using cloud platforms like AWS or GCPnExtensive understanding and experience with Agentic workflows LLMs RAG and protocols like MCP A2AnExperience with implementation of complex agentic systems using LangGraph ADK Claude Code or similar frameworksnExperience working and building MCP servers extensive experience with prompt engineering and evaluationsnExperience in designing scalable highly available distributed systems which can handle high data volumes
Strong experience working with Gen Ai based systems Agentic frameworks (e.g. LangGraph ADK AutoGPT) and RAG (Embedding Chunking Search).nExperience working with RAG Data ingestion pipelines Vector DB and data platformsnA2A (Agent-to-Agent): Experience building autonomous agent ecosystems where agents negotiate share context and delegate tasks via standardized understanding of REST GraphQL and gRPC APIs authentication (OAuth API keys) and distributed systemsnStrong grasp of software design principles (SOLID DRY) and testing : Knowledge of Prompt Injection/ Guardrail defense and secure context handling (PII redaction)nExcellent written and oral communication skills on both technical and non-technical to debug complex cross-platform issues and optimize to articulate technical concepts effectively to diverse audiencesnSelf directed self motivated and detail oriented with ability to come up with good design proposals and thorough analysis of production issuesn
Required Experience:
Unclear Seniority
We are looking for a passionate and experienced Software Engineer to help build the foundation of Apples 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 ...
We are looking for a passionate and experienced Software Engineer to help build the foundation of Apples 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 youre 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 Agent Orchestration: Architect and implement complex stateful multi-agent workflows using LangGraph Google 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 memorynWork with cross functional teams to drive and implement as per secure guidelinesnWork with QA to identify issues and fix aspects of the job include mentoring and providing feedback to junior developers working with the team manager and PM in estimating scope and team capacity responding to urgent requests from executives or business needs and maintaining the stability and high reliability of our systems.
Bachelors degree in Computer Science or similar degree or equivalent experiencen6 years of software engineering experience in Java or PythonnExperience in building maintaining or enhancing RESTful web services using cloud platforms like AWS or GCPnExtensive understanding and experience with Agentic workflows LLMs RAG and protocols like MCP A2AnExperience with implementation of complex agentic systems using LangGraph ADK Claude Code or similar frameworksnExperience working and building MCP servers extensive experience with prompt engineering and evaluationsnExperience in designing scalable highly available distributed systems which can handle high data volumes
Strong experience working with Gen Ai based systems Agentic frameworks (e.g. LangGraph ADK AutoGPT) and RAG (Embedding Chunking Search).nExperience working with RAG Data ingestion pipelines Vector DB and data platformsnA2A (Agent-to-Agent): Experience building autonomous agent ecosystems where agents negotiate share context and delegate tasks via standardized understanding of REST GraphQL and gRPC APIs authentication (OAuth API keys) and distributed systemsnStrong grasp of software design principles (SOLID DRY) and testing : Knowledge of Prompt Injection/ Guardrail defense and secure context handling (PII redaction)nExcellent written and oral communication skills on both technical and non-technical to debug complex cross-platform issues and optimize to articulate technical concepts effectively to diverse audiencesnSelf directed self motivated and detail oriented with ability to come up with good design proposals and thorough analysis of production issuesn
Ask Siri to name the most successful company in the world and it might respond: Apple. And it's not just out of familial pride. Apple consistently ranks highly in profit, revenue, market capitalization, and consumer cachet. In 2018, the company became the first reach a trillion dollar
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