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Software Engineer - Agent Development

Apple· IS&T Customer Systems
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HyderabadFull-timePosted 3d ago

About the role

Agentic AI Developer role within Apple’s IS&T Customer Systems team. Design, build, and operate intelligent autonomous agent systems end-to-end (server-side and client-side), with focus on memory design, multi-agent orchestration, observability, and safe deployment. Production-grade engineering across Java/Spring Boot, React, and TypeScript, collaborating with engineers, product managers, and platform teams to advance AI capabilities in developer tools.

Responsibilities

  • Design and implement multi-agent orchestration systems — including agent collaboration, task delegation, hand-offs, shared context management, role specialisation, and conflict resolution patterns
  • Build agent memory architectures — episodic, semantic, and working memory — using vector stores (pgvector, Milvus) and hybrid retrieval strategies to enable agents to reason over past interactions and maintain state across sessions
  • Develop tool and function-calling layers that expose internal APIs and services as agent-executable tools via MCP (Model Context Protocol) servers or custom tool registries, with strong contracts and well-defined failure semantics
  • Implement RAG (Retrieval-Augmented Generation) pipelines with vector stores and hybrid retrieval strategies to ground agent responses in authoritative internal knowledge
  • Own the observability story for agentic systems — distributed tracing of agent runs, prompt and response capture, token and cost accounting, evaluation pipelines, replay and debugging, and regression detection using OpenTelemetry and LLM observability tooling
  • Drive maintainability of agentic systems through versioning of prompts, tools, and agent graphs; deterministic test harnesses; evaluation suites; safe canary rollouts; and structured logging that makes non-deterministic behaviour debuggable
  • Apply agent safety guardrails — input validation, prompt-injection defences, output schema contracts, and sandboxed code execution — to ensure systems are safe and reliable at production scale
  • Architect and maintain server-side agent services using Java (Spring Boot, Spring AI) and client-side agent interfaces using React and TypeScript

Qualifications

  • 4+ years of software engineering experience, with at least 2 years focused on AI/ML systems, LLM integrations, or autonomous agent development
  • Hands-on experience designing and implementing multi-agent orchestration systems and agent loop patterns (ReAct, Plan-and-Execute, or similar)
  • Strong proficiency in Java (Spring Boot) and TypeScript/React for building full-stack agentic applications
  • Solid understanding of LLM fundamentals: prompt engineering, context window management, function calling, structured outputs, and tool use
  • Experience building RAG pipelines and working with vector databases
  • Demonstrated ability to implement agent safety guardrails including prompt-injection defences and output schema enforcement
  • Experience with observability tooling (OpenTelemetry or equivalent) applied to distributed, AI-driven systems
  • Bachelor's degree in Computer Science, Software Engineering, or a related technical field
  • Experience implementing or consuming MCP (Model Context Protocol) servers and clients
  • Familiarity with model routing and fallback strategies across multiple LLM providers
  • Reactive programming in Java — Project Reactor, WebFlux — for streaming LLM responses
  • Python proficiency for agent prototyping and evaluation pipeline scripting
  • Hands-on experience with cloud AI platforms
  • Experience with agent sandboxing and safe code execution environments
  • Awareness of fine-tuning, LoRA, and small-model distillation techniques for agent specialisation

Skills

Required:JavaSpring BootTypeScript/ReactLLM fundamentalsRAG pipelinesVector databasesObservability toolingSoftware engineering
Nice to have:MCP (Model Context Protocol)

Benefits

  • Not specified in the description
Last updated Oct 23, 2026. Interested? Apply on the company site.

About Apple

Discover the innovative world of Apple and shop everything iPhone, iPad, Apple Watch, Mac, and Apple TV, plus explore accessories, entertainment, and expert device support.

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