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Software Engineer (Agentic AI), AI & Data Platforms

Apple

Software Engineer (Agentic AI), AI & Data Platforms

Apple

Austin, TX

·

On-site

·

Full-time

·

2d ago

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 .

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $147,400 and $220,900, and your base pay will depend on your skills, qualifications, experience, and location.

Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses - including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.

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Appleについて

Apple

Apple

Public

Apple Inc. is an American multinational technology company headquartered in Cupertino, California, in Silicon Valley, best known for its consumer electronics, software and online services.

10,001+

従業員数

Cupertino

本社所在地

$3.5T

企業価値

レビュー

3.9

10件のレビュー

ワークライフバランス

2.5

報酬

4.2

企業文化

3.8

キャリア

3.5

経営陣

3.2

72%

友人に勧める

良い点

Great benefits and compensation

Talented colleagues and supportive teams

Learning opportunities and mentorship

改善点

Work-life balance challenges

High stress and pressure

Fast-paced environment

給与レンジ

11,365件のデータ

L2

L3

L4

L5

L6

L2 · Business Analyst L2

0件のレポート

$114,215

年収総額

基本給

$45,686

ストック

$57,108

ボーナス

$11,422

$79,951

$148,480

面接体験

3件の面接

難易度

3.3

/ 5

期間

28-42週間

内定率

33%

体験

ポジティブ 33%

普通 0%

ネガティブ 67%

面接プロセス

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Onsite/Virtual Interviews

5

Team Matching

6

Offer

よくある質問

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Past Experience