{"id":2131927,"url":"https://alion.io/job/apple-full-stack-ai-systems-engineer","title":"Full Stack AI Systems Engineer","company":{"id":12,"name":"Apple","domain":"apple.com","url":"https://alion.io/company/apple","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Apple Jobs","truth_index":{"grade":"A","score":93,"open_postings":893,"ghost_share":0,"stale_share":0.075,"repost_share":0,"time_to_fill_p50_days":138,"computed_at":"2026-10-12T06:55:09Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"middle","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Sunnyvale, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":216000,"max_usd":409000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":414},"experience_years_min":3,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Docker","optional":false},{"name":"GCP","optional":false},{"name":"Kubernetes","optional":false},{"name":"LLM","optional":false},{"name":"Agentic Workflows","optional":true},{"name":"Apache Kafka","optional":true},{"name":"Claude Code","optional":true},{"name":"RabbitMQ","optional":true},{"name":"RAG","optional":true}],"status":"live","first_seen_at":"2026-09-11T15:24:31Z","employer_posted_date":"2026-10-09","last_verified_at":"2026-10-12T11:04:10Z","board_verified":true,"closed_at":null,"days_open":31,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":31},"description":"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.\nThe people here at Apple don’t just build products - they build 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.\nManufacturing Systems and Infrastructure (MSI) team is an engineering organization under the Product Operations org. MSI is responsible for the design, development, and maintenance of systems tools, services, and applications required to efficiently run manufacturing operations at scale across global factory sites.\nDescription\nAs a Full Stack AI systems Engineer on the MSI team, you will design, build, and evolve web applications and services that empower Manufacturing Operations. You will work closely with engineers to understand their workflows and challenges, translate those needs into effective technical solutions, and take features from early concept through production. Your work will span the user experience, backend services, APIs, data flows, and AI capabilities that power these tools.\nWe care deeply about the user experience and think in systems: how components fit together, where the right abstractions belong, and how today’s decisions shape tomorrow’s roadmap. You will apply AI thoughtfully as part of the overall product experience and use modern development tools, including LLM-powered tools, to improve delivery while maintaining a high bar for quality, reliability, and architecture. Because this work involves close collaboration with our users and partners, the ideal candidate combines strong engineering judgment with curiosity, communication, and ownership.\nMinimum Qualifications\nBachelor’s degree in Computer Science or a related field, or equivalent practical experience.\n3+ years of experience delivering production software through the full software development lifecycle, from requirements and system design to implementation, testing, deployment, and ongoing support.\nStrong foundation in software engineering principles, including architecture, API and data design, testing, debugging, security, reliability, performance, and maintainability.\nExperience building full stack applications and the ability to work effectively across user interfaces, backend services, integrations, and data systems.\nExperience using modern development tools, including AI-assisted coding tools, while applying sound engineering judgment to review, validate, and improve generated code.\nExperience with cloud platforms (AWS, Azure, or GCP), Kubernetes, Docker, CI/CD, and Infrastructure as Code.\nDemonstrated ability to understand complex user workflows, translate them into practical technical solutions, and collaborate across teams to deliver measurable outcomes.\nExcellent communication and collaboration skills, with the ability to translate technical concepts into clear, business focused insights.\nPreferred Qualifications\nBachelor's or Master’s degree in Computer Science or a related field, or equivalent practical experience.\nExperience delivering production software through the full software development lifecycle, from requirements and system design to implementation, testing, deployment, and ongoing support.\nA genuine passion for systems architecture thinking, and a habit of reasoning about how components, data, and services fit together at scale\nExperience using AI coding tools such as Claude Code or Continue to enhance the development workflow and 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