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# Full Stack AI Systems Engineer

- **Company:** Apple Inc.
- **Location:** San Diego, CA, United States
- **Experience:** Expert
- **Salary:** $142,300.0
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Audit Trail, Code Review, Data Infrastructure, Extract Transform Load (ETL), Software Debugging, Programming Tools, Distributed Systems, Python (Programming Language), Ruby on Rails, Software Engineering, TypeScript, Load Balancing, Large Language Models, Backend, Information Technology
- **Published:** September 3, 2026
- **Apply:** https://www.themuse.com/jobs/apple/full-stack-ai-systems-engineer

## About the Role

Are you a senior engineer who can keep large, AI-augmented systems running, who is also comfortable operating systems that include LLMs and agents as

first-class components. If you enjoy taking responsibility for a complex,

already-running platform and making it steadily better, we want to talk.

Preferred Qualifications

Experience operating LLM- or agent-based features in production environments over time

Experience building or maintaining evaluation harnesses, audit trails, or replay infrastructure for AI systems

Background in developer tools, observability, crash/stability analysis, or other operating-system-quality domains

Familiarity with one or more of: Ruby on Rails, Node.js/TypeScript, Python for production services

Experience working in environments with significant deferred scalability work (capacity-constrained, long-lead-time infrastructure)

Minimum Qualifications

5+ years of professional software engineering experience building and operating production systems

BS in Computer Science or a related field, or equivalent practical experience

Fluent use of AI-assisted development tools (coding agents, code review assistants, etc.) to work effectively at scale

Demonstrated experience designing and scaling distributed systems (load balancing, active-active topologies, capacity planning, throughput-bound services)

Track record of maintaining and evolving production services - observability, operational controls, incident response, and steady iteration on existing systems

Strong full-stack instincts; comfortable spanning data infrastructure, backend services, and the user-facing surfaces that consume them

Proven ability to operate independently on ambiguous, open-ended problems where the right answer is not obvious

## Description

Day to day, you'll spend most of your time on the engineering work of running

real systems: tuning evaluation infrastructure, tightening operational

controls, improving auditability and debug trails, and scaling the workflows

our analysts rely on. When new capabilities are needed, you'll prototype and

integrate them into the platform. You'll partner closely with stability

analysts who are domain experts in OS reliability, and with the broader team

responsible for symbolication, ETL, and service infrastructure. You'll also

be expected to use AI-assisted development tools fluently to investigate

issues, refactor at scale, and ship more with a small team.


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