Agent Development Engineer, Customer Systems

Apple, Inc.; Cupertino (CA); On-site; USD 200,000 - 260,000; Full time

Job summary

Apple Information Systems and Technology (IS&T) seeks an Agent Development Engineer to design, build, and deploy autonomous AI systems that reason, plan, and execute multi-step actions. You will create intelligent agents capable of using tools and interacting with enterprise systems to transform Apple customer experiences.

Responsibilities include architecture design, agent development with leading frameworks, tool integration, memory management, prompt engineering, safety, and scalable

Qualifications

• B.S. in Computer Science, Computer Engineering, or related field, or equivalent work experience.
• 7+ years of professional software development experience.
• 2+ years backend/AI/ML application experience.
• Strong proficiency in TypeScript.
• Experience with AI Agent frameworks (LangChain, LangGraph, AutoGen or Semantic Kernel).
• Deep understanding of LLMs and practical application.
• Experience with Retrieval-Augmented Generation (RAG) and vector databases.
• Cloud experience with AWS/Azure/GCP; containerization with Docker & Kubernetes.

Responsibilities

• Design & Architecture: Creating foundational architecture for AI agents with reasoning engines and workflows.
• Agent Development: Building autonomous agents using LangChain, LangGraph, AutoGen, or CrewAI-like frameworks.
• Tool Integration & API Usage: Connecting agents to external tools, databases, APIs, and business systems.
• Memory & Context Management: Implementing memory systems (vector DBs, RAG) for long-term context.
• Prompt Engineering & Optimization: Crafting domain prompts and complex chain-of-thought workflows.
• Testing & Reliability: Human-in-the-loop systems, evals, safety guardrails for production use.
• Deployment & Scaling: Deploying agents in production with Docker/Kubernetes and cloud platforms.

Skills

Backend software development

TypeScript

AI agent frameworks

LLMs & practical AI

RAG

Vector databases

Cloud platforms

Docker & Kubernetes

Education

B.S. in Computer Science / Computer Engineering or related field

Tools

LangChain

LangGraph

AutoGen

Semantic Kernel

Docker

Kubernetes

AWS

Azure

GCP

Pinecone

Milvus

Qdrant

Job description

Customer Systems is part of IS&T and drives the technology behind Apple's customer support experience - from contact center operations to the software powering the iconic Genius Bar. The team also builds and operates AppleCare's online support platform, which handles 6 billion visits per year, delivering seamless, high-quality support to Apple customers around the globe.

There are jobs and then there are opportunities! This is your opportunity to do the best work of your life. Join us, the team that serves as Apple's nerve center: Apple Information Systems and Technology group!

We are seeking a highly innovative and specialized Agent Development Engineer to design, build, and deploy autonomous AI systems. Unlike traditional software or chatbot developers, you will create intelligent agents that leverage Large Language Models (LLMs) to reason, plan, use tools, and execute multi-step actions independently to achieve specific goals, fundamentally transforming how Apple operates and delivers customer experiences.

When you join IS&T, you'll help design and manage systems, frameworks, and apps that countless Apple customers and employees rely on every day. Together, we'll explore all the ways to improve how Apple operates, freeing our employees to do what they do best, and crafting magical experiences for our customers!

Description

As an Agent Development Engineer, you will be at the forefront of building the next generation of intelligent automation. Your core responsibilities will include:

• Design & Architecture: Creating the foundational architecture for AI agents, including sophisticated reasoning engines that break down complex problems and robust decision-making workflows.
• Agent Development: Building autonomous agents using cutting-edge frameworks like LangChain, LangGraph, AutoGen, or CrewAI.
• Tool Integration & API Usage: Connecting agents to external tools, databases, APIs, and critical business systems to enable seamless action-taking and interaction with the broader ecosystem.
• Memory & Context Management: Implementing advanced short- and long-term memory systems (e.g., using vector databases, RAG) so agents can remember past interactions, learn from experience, and maintain context across complex tasks.
• Prompt Engineering & Optimization: Authoring complex, domain-specific prompts and designing sophisticated chain-of-thought workflows to guide agent reasoning and ensure optimal performance.
• Testing & Reliability: Implementing "human-in-the-loop" systems, developing comprehensive evaluation frameworks (evals), and establishing safety guardrails to ensure agents behave reliably, ethically, and predictably in production environments.
• Deployment & Scaling: Deploying agents into production environments, often leveraging Docker, Kubernetes, and cloud platforms like AWS/Azure/GCP, ensuring scalability and high availability.

The ideal candidate will possess a unique blend of software engineering rigor and AI innovation. You will thrive in an environment where systems are non-deterministic, requiring continuous testing, monitoring, and adaptation. A strong focus on the end-to-end behavior of goal-driven systems, rather than just isolated model optimization, is crucial. You should be passionate about process automation and understand how AI agents can replace or augment traditional Robotic Process Automation (RPA), requiring a keen understanding of business workflows. Excellent communication and collaboration skills are essential for working with diverse teams across Apple.

Minimum Qualifications

• B.S. in Computer Science, Computer Engineering, or a related technical field, or equivalent professional work experience.
• 7+ years proven experience developing software in a professional capacity. Longer experience preferred.
• 2+ years of professional software development experience, with a strong focus on backend systems or AI/ML applications.
• Strong proficiency in TypeScript, with experience in developing robust, scalable applications.
• Experience with at least one major AI Agent framework such as LangChain, AutoGen, LangGraph, or Semantic Kernel.
• Deep understanding of Large Language Models (LLMs), including their capabilities, limitations, and practical application (e.g., GPT-4o, Claude 3.5 Sonnet, Gemini).
• Practical experience with Retrieval-Augmented Generation (RAG) and fine-tuning techniques for LLMs.
• Experience with vector databases (e.g., Pinecone, Milvus, Qdrant) and traditional SQL/ NoSQL databases.
• Proficiency with cloud platforms (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes) for deployment and management.

Preferred Qualifications

• Experience in AI, machine learning, or automation systems beyond basic scripting.
• Background as a Machine Learning Engineer or Full-Stack Developer with a strong interest in autonomous systems.
• Familiarity with JavaScript or TypeScript for agent front-end integration or tooling.
• Experience designing and implementing complex multi-agent systems or agentic workfl