Job description

The Developer Experience Platform team builds the frameworks, services and AI tools that help Apple’s enterprise developers move faster through the software development lifecycle. We’re creating a new AI-powered developer platform that brings together ai agents and autonomous workflows to support how apps are built across Apple. This is a hands-on engineering role with broad impact. You’ll contribute to building the backbone of our agentic AI platform, balancing reliability and scale with experimentation and innovation. The right candidate has strong backend and distributed systems expertise, practical experience with AI agents, and a focus on building reliable systems. Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field, or equivalent practical experience 4+ years of industry experience in software engineering or machine learning Hands-on experience building AI agents with Large Language Models (LLMs), including Retrieval-Augmented Generation (RAG), using frameworks such as LangChain, LangGraph, Pydantic AI, or CrewAI Strong programming skills in multiple languages (e.g., Python, Java, Go, Node.js, or TypeScript), with solid experience designing and developing distributed systems, backend services, and APIs in production environments Familiarity with deploying and operating services in cloud environments (AWS, GCP, or Azure), including containerization (Docker) and orchestration (Kubernetes) Experience with CI/CD pipelines and MLOps practices for deploying, scaling, and monitoring LLM-powered services Background in building REST or GraphQL APIs, microservices, and event-driven systems Knowledge of vector databases, memory systems, and human-in-the-loop workflows Strong collaboration skills with the ability to work effectively across ML research, platform engineering, and product teams

Requirements

Must-haves

Bachelor’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field, or equivalent practical experience
4+ years of industry experience in software engineering or machine learning
Hands-on experience building AI agents with Large Language Models (LLMs), including Retrieval-Augmented Generation (RAG), using frameworks such as LangChain, LangGraph, Pydantic AI, or CrewAI
Strong programming skills in multiple languages (e.g., Python, Java, Go, Node.js, or TypeScript), with solid experience designing and developing distributed systems, backend services, and APIs in production environments
Familiarity with deploying and operating services in cloud environments (AWS, GCP, or Azure), including containerization (Docker) and orchestration (Kubernetes)
Experience with CI/CD pipelines and MLOps practices for deploying, scaling, and monitoring LLM-powered services
Background in building REST or GraphQL APIs, microservices, and event-driven systems
Knowledge of vector databases, memory systems, and human-in-the-loop workflows
Strong collaboration skills with the ability to work effectively across ML research, platform engineering, and product teams

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aimachine learningpythonjavagonode.jstypescriptawsgcpazuredockerkubernetesci/cdllmrestgraphqlml

Platform: apple
Effort: medium