Platform Engineer, AI Agents
3 days ago
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.
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
Preferred Qualifications
Familiarity with AI/ML technologies including LLMs, AI Agents (LangChain, 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
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