Senior AI Application Engineer

Strong understanding of generative AI models, particularly large language models (LLMs)

Proficiency in Python

Excellent software engineering skills, versed in modular and object-oriented design methodology and general SW standard processes

BS and a minimum of 10 years relevant industry experience

5+ years of hands-on experience developing AI-powered applications

Experience designing and deploying agentic AI systems

Extensive knowledge with popular LLMs such as Gemini, Claude, and GPT

Experience with ML frameworks (e.g., PyTorch, TensorFlow, scikit-learn)

Demonstrated ability to bring innovative AI research into production systems

Hands-on experience with cloud services and containerization technologies

Additional experience in Java or C++ is a plus

Master's or PhD in Computer Science, Computer Engineering, or a related field

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 $171,600 and $302,200, 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. Learn more about Apple Benefits.

Note: Apple benefit, compensation and employee stock programs are subject to eligibility requirements and other terms of the applicable plan or program.