Full Stack Software Engineer, Generative AI

Full Stack Software Engineer, Generative AI

Imagine what you could do here. The people here at Apple don't just create products — they create the kind of wonders that have 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 lead the future generation of innovation. 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

Pay & Benefits

At Apple, base pay is one part of our total compensation package and is determined within a range. This provides the opportunity to progress as you grow and develop within a role. The base pay range for this role is between $181,100 and $272,100, and your base pay will depend on your skills, qualifications, experience, and location. Apple employees also have the opportunity to become an Apple shareholder through participation in Apple's discretionary employee stock programs. Apple employees are eligible for discretionary restricted stock unit awards, and can purchase Apple stock at a discount if voluntarily participating in Apple's Employee Stock Purchase Plan. You'll also receive benefits including: Comprehensive medical and dental coverage, retirement benefits, a range of discounted products and free services, and for formal education related to advancing your career at Apple, reimbursement for certain educational expenses — including tuition. Additionally, this role might be eligible for discretionary bonuses or commission payments as well as relocation.

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.