Full Stack AI Systems Engineer

Apple Inc

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Quick summary

Work type
On-site
Location
Sunnyvale, CA
Salary
$150,400–$225,300 / yr
Posted
2 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $182k
This role $188k
$141k most similar roles pay here $234k

This role pays less than 62% of similar roles. Most pay $152,350–$211,200 — the shaded band above. At the midpoint, this role pays about $188k versus about $182k for comparable roles.

Based on 240 similar postings.

Employer

About Apple Inc

Apple Inc. is a multinational technology company known for designing and manufacturing consumer electronics, software, and online services, including the iPhone, Mac, iPad, and App Store. Industry: Consumer Electronics & Software

Apple Inc currently has 2000 open roles on FindRole.

Listed pay typically runs $175,000–$277,600 across 1613 roles with salary data.

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At a glance

TL;DR · Full Stack AI Systems Engineer

As a Full Stack AI Systems Engineer on the Manufacturing Systems and Infrastructure team, you will design, build, and evolve web applications and services that empower manufacturing operations at scale. You will own features from initial problem definition through deployment, creating production-quality full stack applications including user interfaces, backend services, APIs, data models, and integrations. The role involves developing AI-powered and agentic capabilities to support multi-step workflows by connecting with engineering data. You will utilize modern development tools, including LLM-powered coding tools like Claude Code or Continue, while managing infrastructure using Kubernetes, Docker, and CI/CD pipelines on cloud platforms such as AWS, Azure, or GCP. Key technical components include RabbitMQ, Kafka, and distributed systems. Your work solves the challenge of creating reliable, scalable tools to streamline complex manufacturing workflows across global factory sites.

What you'll do

  • Own features from initial problem definition and technical design through implementation, deployment, and continuous improvement.
  • Design and build production-quality full stack applications including user interfaces, backend services, APIs, and data models.
  • Develop AI-powered and agentic capabilities to support multi-step workflows using engineering data and tools.
  • Architect scalable, reliable, and secure systems while maintaining high standards for observability and user experience.
  • Translate complex manufacturing workflows into practical technical solutions and software features.
  • Integrate LLMs and ML services into production applications through prompt design and retrieval-augmented generation.
  • Utilize AI-assisted coding tools to accelerate development while ensuring code quality and architectural integrity.

What we're looking for

  • Bachelor's degree in Computer Science or a related field, or equivalent practical experience.
  • 3+ years of experience delivering production software through the full software development lifecycle.
  • Strong foundation in software engineering principles including architecture, API and data design, testing, security, and reliability.
  • Experience building full stack applications across user interfaces, backend services, integrations, and data systems.
  • Experience using modern development tools, including AI-assisted coding tools, with sound engineering judgment.
  • Experience with cloud platforms (AWS, Azure, or GCP), Kubernetes, Docker, CI/CD, and Infrastructure as Code.
  • Ability to translate complex user workflows into technical solutions and communicate concepts to business stakeholders.
  • Experience integrating LLMs or ML services into production applications (preferred); familiarity with RabbitMQ or Kafka (preferred).

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