About the job
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.
Responsibilities
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 issues and fix it.
Other 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.
Qualifications
Minimum
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
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