Software Engineer - Intelligent Engineering Workflows

Apple Apple · Big Tech · San Diego, CA · Software and Services

Software Engineer to design and build intelligent tooling, automation, and AI-powered workflows using AI agents to improve engineering productivity and software quality across Apple's media technology stack. This role involves prototyping and productizing systems that leverage agentic coding workflows, AI-driven code analysis, and automation pipelines to streamline development processes, accelerate issue resolution, and enhance code quality at scale.

What you'd actually do

  1. Design, build, and coordinate multi-agent AI systems that automate engineering workflows, including code analysis, issue triage, and developer productivity.
  2. Develop and apply AI-driven methods for code understanding, defect prediction, and automated code review, leveraging large language models and static analysis techniques.
  3. Build automation pipelines that integrate with existing CI/CD, bug tracking, and developer productivity systems. Contribute to internal tooling and frameworks.
  4. Define benchmarks and metrics for evaluating system performance and analysis quality. Establish baselines and track improvements over time.
  5. Build visualizations of timelines, event sequences, and engineering data that help teams quickly understand and act on complex information.

Skills

Required

  • 3+ years of professional software engineering experience shipping production systems.
  • Proficiency in C/C++ and at least one of: Python, JavaScript/TypeScript, Swift.
  • Strong understanding of operating systems fundamentals, software engineering principles, development lifecycles, and debugging.
  • Experience building automation systems, internal developer tools, or workflow platforms.
  • BS, MS, or PhD in Computer Science, Machine Learning, Artificial Intelligence, Physics, Mathematics, or a related technical field.

Nice to have

  • Experience building multi-agent AI systems or agentic workflows (e.g., using Anthropic Claude Code, OpenAI Codex, LangChain, LangGraph, CrewAI, or custom orchestration).
  • Familiarity with LLM-powered systems, prompt engineering, and AI agent frameworks.
  • Experience architecting solutions that span multiple systems and team boundaries.
  • Track record of publishing research or contributing to open-source projects in ML/AI or software analysis.
  • Experience with distributed systems, cloud infrastructure (AWS, GCP , Azure), and containerized deployments.

What the JD emphasized

  • Practical experience applying agentic AI systems to software development or operational workflows.
  • Experience building multi-agent AI systems or agentic workflows
  • Familiarity with LLM-powered systems, prompt engineering, and AI agent frameworks.

Other signals

  • design and build intelligent tooling
  • AI-powered workflows
  • agentic coding workflows
  • AI-driven code analysis
  • automation pipelines
  • leverage large language models