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We are looking for an outstanding Full Stack Software Engineer to play a key role in designing and developing the next generation of AIML-powered professional training applications, employing ground breaking large language models (LLMs), visual intelligence models, voice interfaces, and other emerging technologies. This includes architecting scalable, secure, and high-performance systems that deliver personalized, adaptive learning experiences for global teams. You will collaborate closely with multi-functional partners in engineering, product management, and design to integrate AIML-driven features that enhance content creation, interactive training, and analytics capabilities.
Description
In this role, you will focus on the following key areas:
- Developing high quality software systems according to the specifications of product and engineering leadership
- Designing, developing, and maintaining applications across the frontend and backend
- Implementing generative AI capabilities into content tools
- Optimizing performance, scalability, and security of full stack applications
- Working with multi-functional teams to integrate with multiple enterprise systems
- Triaging issues and using debugging tools and skills to identify solutions
- Maintaining expertise in full stack development and generative AI
Minimum Qualifications
8+ years of professional software engineering experience
Strong experience with machine learning integration, particularly LLMs, computer vision, and voice technologies.
Ability to design and build AIML-driven training applications, incorporating multi-modal inputs such as text, image, and voice.
Proficiency in cloud-based architectures (e.g., AWS, GCP, Azure) for deploying scalable AIML systems.
Familiarity with MLOps standard methodologies, including model training, deployment, and monitoring.
Experience with modern front-end (JavaScript/TypeScript, React, or similar frameworks) and back-end (Node.js, Python, Java, or similar) frameworks to support interactive and responsive AIML applications.
Deep understanding of data pipelines, data privacy, and security compliance for handling sensitive training data.
Solid coding fundamentals and a thirst to improve and challenge yourself
Excellent communication and soft skills
Ability to work on a highly collaborative cross-functional team
Passion for high quality user experiences and an unmatched attention to detail
BS in Computer Science or equivalent field
Preferred Qualifications
Experience with RAG pipelines and prompt engineering
Experience deploying AI features into production at scale
Background in personalization/adaptive learning technologies
Eeo Content
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.
