Efficiency AI Ops Engineer Hybrid

The Role: Architecting Cisco's AI Future

In this role, you will become a primary driver of the 'Circuit' platform, the centralized engine that powers AI transformation across Cisco's global operations. You will move beyond traditional software engineering to focus on the orchestration of intelligent systems, ensuring that LLMs are not just functional, but cost-effective and highly responsive. Your mission is to bridge the gap between experimental AI research and hardened, production-ready automation tools that serve a massive enterprise user base.

Tech Stack & Vibe Coding Workflow

This position is tailor-made for developers who have mastered AI-assisted development. You will utilize advanced tools like Cursor, GitHub Copilot, and Claude Code to accelerate your output, focusing your energy on system-level design and the stability of auto-generated artifacts. Key technical challenges include:

• Agentic AI: Developing and modernizing features using autonomous agents.
• Model Efficiency: Implementing smart routing and token optimization to balance cost and speed.
• LLM Tuning: Fine-tuning open-source models to meet specific performance benchmarks.

Growth and Impact

As a 'Team Captain' within the AI and Automation portfolio, you will mentor others in the art of AI-assisted engineering. You'll have the autonomy to evaluate the latest vendor models and stack-rank technologies to keep Cisco at the cutting edge. This is a high-visibility opportunity to define how one of the world's largest networking companies integrates AI into its daily DNA, all while working in a hybrid environment in either San Jose or Raleigh.