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JobsApple

Platform Engineer, AI Agents - Apple Ads

Apple

Platform Engineer, AI Agents - Apple Ads

Apple

New York, NY

·

On-site

·

Full-time

·

2w ago

Compensation

$147,400 - $272,100

Benefits & Perks

Healthcare

401(k)

Equity

Learning Budget

Healthcare

401k

Equity

Learning

Required Skills

Python

Java

Docker

Kubernetes

Terraform

At Apple, we focus deeply on our customers' experience. Apple Ads brings this same approach to advertising, helping people find exactly what they're looking for and helping advertisers grow their businesses.
Our technology powers ads and sponsorships across Apple Services, including the App Store, Apple News, and MLS Season Pass. Everything we do is designed for trust, connection, and impact: We respect user privacy, integrate advertising thoughtfully into the experience, and deliver value for advertisers of all sizes-from small app developers to big, global brands. Because when advertising is done right, it benefits everyone.

We are looking for a Platform Engineer to help design and build the next generation of the Apple Ads Developer Platform - integrating AI agents and LLM-powered tools to accelerate how Apple engineers build, test, and deploy software. This is a hands-on backend engineering role focused on creating reliable, scalable systems that make AI-driven developer assistance a reality across Apple Ads.

Description:

The Apple Ads platform engineering team is building a world-class developer platform to accelerate the software development lifecycle for internal engineering teams. We are developing a Generative AI-powered Developer Experience Platform specifically tailored for Apple Ads Engineers, aiming to assist our app development teams with cutting-edge AI tools. This role encompasses multiple backend aspects, including ensuring the accuracy of LLM-based code generation and seamless integration with various enterprise services within Apple. You will collaborate closely with Machine Learning engineers, Software Engineers, and Reliability Engineers to deliver an end-to-end solution for this platform, directly impacting the speed and efficiency of Apple Ads development.

Preferred Qualifications:

Familiarity with AI/ML technologies including LLMs, AI Agents (Lang Chain, Google ADK, etc.)

Experience developing internal platforms or developer experience tools

Track record designing client-agnostic APIs using REST and/or GraphQL

Understanding of OAuth 2.0 fundamentals (authentication, delegated authorization, etc)

Experience with managed cloud platforms such as AWS, GCP, Azure

Excellent communication skills to collaborate with non-technical audience

Enthusiasm for experimentation and scaling emerging technologies

Minimum Qualifications:

Bachelor's Computer Science, Artificial Intelligence, Machine Learning, or a related field, or related experience.

Strong programming skills building backend API services using Python (preferred) and/or Java (required)

4+ years of experience in software architecture design and development with expertise in Domain Driven Design, Service Oriented Architecture, and Distributed Systems

2+ years of experience in technical leadership roles focused on platform engineering or infrastructure

Proficiency with containerized technologies (Docker) and container orchestration platforms (Kubernetes, Terraform)

Proven ability to design, operate, and maintain distributed systems (monitoring, observability, automation, etc.)

Strong understanding of modern software development lifecycles and developer tooling

Excellent communication skills and comfort working in cross-functional engineering 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 $272,100, 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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About Apple

Apple

Apple

Public

A 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 · Cybersecurity Analyst L2

0 reports

$169,000

total / year

Base

$67,600

Stock

$84,500

Bonus

$16,900

$118,300

$219,700

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