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# Software Engineer, Internal Tools - Media, Graphics & Compute Tech

- **Company:** Apple Inc.
- **Location:** San Diego, CA, United States
- **Experience:** Expert
- **Salary:** $175,000.0 - $308,500.0
- **Contract:** Permanent contract
- **Skills:** Business Logic, Application Performance Management, Software Debugging, Programming Tools, Distributed Systems, Python (Programming Language), Software Engineering, Large Language Models, Software Application Programming, Generative AI, Agentic-AI, Model Context Protocol
- **Published:** October 18, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=eb3f66a8bea6b525

## About the Role

Proficiency in multiple programming languages

Familiarity with application performance profiling and benchmarking

Hands-on experience building applications or developer tooling that leverage GenAI technologies, such as LLM APIs, AI agents, retrieval-augmented generation (RAG), or the Model Context Protocol (MCP)

Minimum Qualifications

8+ years of software development experience, with strong proficiency in Python or a similar language

Demonstrated expertise in debugging complex systems

Experience architecting and implementing large-scale distributed systems

## Description

We're looking for a meticulous, focused, and self-motivated individual, passionate about automating workflows, including through GenAI and agentic tooling. You'll partner with cross-functional teams to identify opportunities to improve their efficiency.

You'll join a team of engineers building scalable applications that help a large engineering organization ship higher-quality software, faster.

You'll design reliable, highly available applications, services, and platforms, with automation as the guiding goal.","responsibilities":"Build and maintain a well-integrated toolchain that streamlines platform operations and reduces operational overhead

Develop and maintain applications with a focus on quality, scalability, and maintainability

Investigate and resolve complex issues spanning application logic and underlying infrastructure

Build tooling and automation frameworks that ensure the quality and rapid, reliable delivery of SME's streaming features

Partner with cross-functional teams to identify and automate inefficient workflows

Design and build GenAI-powered tooling and agentic workflows that boost engineering productivity and automate quality and delivery processes across the organization