招聘
Benefits & Perks
•Healthcare
•401(k)
•Equity
•Learning Budget
•Healthcare
•401k
•Equity
•Learning
Required Skills
Python
Java
Go
Node.js
TypeScript
Distributed Systems
Backend Development
APIs
Imagine what you could do here. At Apple, we believe new insights have a way of becoming excellent products, services, and customer experiences very quickly. Bring passion and dedication to your job and there's no telling what you could accomplish. The people here at Apple don't just create products - they create the kind of wonder that's revolutionized entire industries. It's the diversity of those people and their ideas that inspires the innovation that runs through everything we do, from amazing technology to industry-leading environmental efforts. Join Apple, and help us leave the world better than we found it.
Developer experience platform team is looking for an extraordinary Software engineer to join our team. You will help design, implement various developer front end tools to build our next gen developer experience platform and accelerate app development inside Apple.
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.
","responsibilities":"Design and maintain backend services and orchestration systems that power multi-agent AI workflows.
Build reliable systems that integrate large language models (LLMs) into developer tools and services.
Work on cloud deployments, CI/CD, and MLOps practices to keep AI services reliable and scalable.
Collaborate with researchers and engineers to bring new AI capabilities into production.
Partner with developers to understand their needs and improve the experience of using AI-powered tools.
Preferred Qualifications:
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
Minimum Qualifications:
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 Lang Chain, Lang Graph, 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
Apple is an equal opportunity employer that is committed to inclusion and diversity. We seek to promote equal opportunity for all applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, Veteran status, or other legally protected characteristics. Learn more about your EEO rights as an applicant .
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About Apple

Apple
PublicA technology company that designs, manufactures, and markets consumer electronics, personal computers, and software.
10,001+
Employees
Cupertino
Headquarters
$3.5T
Valuation
Reviews
4.0
10 reviews
Work Life Balance
4.0
Compensation
4.2
Culture
3.8
Career
3.5
Management
3.2
75%
Recommend to a Friend
Pros
Great coworkers and people
Excellent benefits and perks
Fast-paced and engaging work environment
Cons
High expectations and pressure
Management quality varies
Limited career progression opportunities
Salary Ranges
17,968 data points
L2
L3
L4
L5
L6
L2 · Business Analyst L2
0 reports
$114,215
total / year
Base
$45,686
Stock
$57,108
Bonus
$11,422
$79,951
$148,480
Interview Experience
5 interviews
Difficulty
3.4
/ 5
Duration
28-42 weeks
Offer Rate
20%
Experience
Positive 20%
Neutral 40%
Negative 40%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Phone Screen
4
Behavioral Interview
5
Onsite/Virtual Interviews
6
Team Matching
7
Offer
Common Questions
Coding/Algorithm
System Design
Behavioral/STAR
Technical Knowledge
Culture Fit
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