Full Stack Software Engineer, AIML Tools

Imagine what you could do here! At Apple new ideas have a way of becoming extraordinary products services and experiences very quickly and that holds just as true for the tools we build internally as for the products the world Human Research and Engineering Solutions AI/ML team builds the software that Apples Hardware Engineering organizations rely on to do their best work. We sit where web engineering meets applied AI: the applications and services we create shape how thousands of hardware engineers plan collaborate and make decisions every day. When we get it right complex work becomes simpler faster and more are looking for a Full Stack Engineer who is at heart a builder. Someone equally at home crafting a refined ReactJS interface and designing the backend and data flows behind it and who is energized by weaving AI into the tools people use. If you care about elegant systems as much as elegant code we would like to hear from you.

As a Full Stack Engineer on the HRES AI/ML team you will design build and evolve web applications and services that empower Hardware Engineering organizations across Apple. 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 care deeply about the user experience and think in systems: how components fit together where the right abstractions belong and how todays decisions shape tomorrows 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.

Partner with Hardware Engineering teams to understand their workflows and translate complex needs into intuitive software features and applications from problem definition and technical design through implementation deployment adoption and continuous and build production-quality full stack applications including user interfaces backend services APIs data models and AI-powered and agentic capabilities that connect with engineering data and tools to support multi-step workflows and application architecture and maintain high standards for scalability reliability security testing observability and user across teams incorporate user feedback and contribute reusable tools patterns and technical guidance.

Bachelors degree in Computer Science or a related field or equivalent practical experience.n4 years of experience delivering production software through the full software development lifecycle from requirements and system design to implementation testing deployment and ongoing foundation in software engineering principles including architecture API and data design testing debugging security reliability performance and building full stack applications and the ability to work effectively across user interfaces backend services integrations and data using modern development tools including AI-assisted coding tools while applying sound engineering judgment to review validate and improve generated ability to understand complex user workflows translate them into practical technical solutions and collaborate across teams to deliver measurable communication and collaboration skills with the ability to translate technical concepts into clear business focused insights

Bachelors or Masters degree in Computer Science or a related field or equivalent practical experience.n6 years of experience delivering production software through the full software development lifecycle from requirements and system design to implementation testing deployment and ongoing genuine passion for systems architecture thinking and a habit of reasoning about how components data and services fit together at scalenExperience using AI coding tools such as Claude Code or Continue to enhance the development workflow and accelerate delivery while maintaining code quality and architectural standardsnExperience integrating LLMs or ML services into production applications for example prompt design retrieval augmented generation agentic workflows or model backed featuresnFamiliarity with message and job queues such as RabbitMQ Kafka or Resque and with distributed systemsnExperience with cloud platforms and containerization tools such as Docker and KubernetesnStrong understanding of UX and UI design principles