Software Engineer, Applied AI

Apple’s Reliability organization is looking for an Applied AI Software Engineer to help build AI/ML applications at cloud-scale. In this onsite role in San Diego, you’ll implement GenAI-oriented tools and platform capabilities that support reliable deployment and execution across multi-tenant Kubernetes environments.

You’ll work across the full project lifecycle, partnering with engineering stakeholders and external contractors to deliver production-ready systems with observability, automated workflows, and inference pipelines.

What you’ll do

• Build robust, full-stack GenAI-oriented applications using modern engineering practices, including a Python/FastAPI backend and a React/Next.js TypeScript frontend.
• Develop and deploy services using AWS RDS and ElastiCache, with containerized workloads on AWS EKS using Helm and Terraform.
• Extend and maintain a multi-tenant EKS platform that enables users to build, deploy, and run applications in Kubernetes pods at 5,000+ pod scale, including integrated build pipelines, sidecars, and a session-affinity reverse proxy.
• Design and integrate GenAI features into the platform, including agentic workflows, AI agent skills, LLM-powered web features, and production-grade inference pipelines.
• Own engineering project scope from concept through deployment.
• Collaborate with a team of external contractors, providing code reviews and delivery support to maintain fast, high-quality output.
• Implement and operate production observability using OpenTelemetry tracing, Prometheus metrics, and structured logging to support reliability and performance.

Required experience

• B.S. in Computer Science, Software Engineering, Computer Engineering, Machine Learning, or related field.
• Software engineering exposure through internships, including a strong foundation in CS fundamentals (data structures and algorithms) and experience building web applications using Python (FastAPI, SQLAlchemy) and TypeScript (React/Next.js).
• Experience with containerized services on Kubernetes (EKS, Helm, Terraform).
• Exposure to applied AI Engineering, building production-level solutions using GenAI and ML to meet business needs and improve organizational or development workflows.
• Ability to follow direction from an engineering lead on feature scope, collaborate with stakeholders, refine requirements, and drive work toward completion.
• Strong communication and presentation skills, with the ability to explain technical concepts to diverse audiences in a fast-paced, evolving environment.

Technologies you may work with

• Python, FastAPI, React, Next.js, TypeScript
• AWS RDS, ElastiCache
• AWS EKS, Kubernetes, Helm, Terraform
• OpenTelemetry, Prometheus, SQLAlchemy
• GenAI, ML, LLM, agentic workflows, LLM-powered web features

Education

• B.S. in Computer Science, Software Engineering, Computer Engineering, Machine Learning, or related field

Benefits

• Comprehensive medical and dental coverage
• Retirement benefits
• Discounted products and free services
• Reimbursement for certain educational expenses, including tuition
• Opportunity to become an Apple shareholder through discretionary employee stock programs
• Discretionary restricted stock unit awards
• Employee Stock Purchase Plan option to purchase Apple stock at a discount (voluntary participation)
• Potential discretionary bonuses or commission payments and relocation (eligibility may apply)

Pay & eligibility notes

The base pay range for this role is $122,700 to $214,300 per year. Apple benefit, compensation, and employee stock program details are subject to eligibility requirements and other terms of the applicable plan or program. Learn more about Apple Benefits.

Location: San Diego, CA (onsite)