Software Engineer (AI & Quality Platforms), Retail & Marcom Engineering

**Weekly Hours:** 40 **Role Number:** 200630395-3956 **Summary** Marcom is Apple’s creatively led team behind consumer marketing worldwide. The Marcom Platform & Services Quality Engineering team is seeking a full-stack Software Engineer to turn internal tools into a quality platform—shared services, APIs, and evaluation pipelines—for development, QE, and production. You’ll apply modern AI/ML to expand automated coverage, cut flakiness, and speed CI signal. Our work supports high-visibility launches for millions of customers in 100+ languages. **Description** As a Software Engineer, you’ll prototype quickly, tie engineering to business outcomes, and balance rigor with AI-driven velocity. You’ll build and extend the quality platform—orchestration, retrieval, evaluation harnesses, and APIs—that scales quality across the portfolio. **Minimum Qualifications** + Requires Bachelor’s degree in Computer Science, a technical field or a minimum of 5 years of relevant work experience. + Proficiency in Node or Python and ability to read/write the other. + Experience building an automation framework (e.g., Selenium, Jest, Playwright) or test infrastructure for at least one platform (web, native, or APIs). + Shipped an internal or external LLM-powered capability (e.g., prompting with tool/function calls, + automated evals, or CI gating; understands accuracy/latency/cost trade-offs). + Designed and operated REST/GraphQL services and data flows that feed automation/test systems; + solid integration-testing practice. + • Experience in CI/CD (e.g., GitHub Actions/Jenkins/Harness) and Docker. **Preferred Qualifications** + 8+ years as a Software Engineer and 5+ years in automation & validation. + Cross-platform automation frameworks across web, native, and APIs; experience reducing flake and improving time-to-signal via heuristics/stats. + Retrieval/RAG depth: metadata filtering, chunking, index design, re-ranking, evaluation; familiarity with vector databases (e.g., Qdrant, Pinecone, OpenSearch) and embeddings. + Strong Python for ML/LLM workflows; advanced TypeScript and Node for platform services. + Kubernetes and infrastructure-as-code exposure. + Expertise in mocking / dependency injection. + Ability to explain complex systems simply to engineers and non-engineers. 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 (https://www.eeoc.gov/sites/default/files/2023-06/22-088\_EEOC\_KnowYourRights6.12ScreenRdr.pdf) .