Efficiency AI Ops Engineer

Responsibilities

• Develop software consistent with Cisco’s ‘Design Thinking Principles’
• Serve as a key driver in the evolution of our AI ecosystem
• Tackle high‑impact technical challenges such as optimizing LLM token usage
• Build, integrate, and maintain AI agents and features within the Circuit platform
• Continuously monitor the AI landscape to stack‑rank and integrate new models from vendors
• Lead the delivery of high‑quality design features from initial concept through to production

• Bachelor’s degree with 6+ years, Master’s degree with 4+ years, or PhD with 1+ year of related experience in Computer Science, AI/ML, or a related technical field
• Proven experience conducting applied research to solve complex technical problems
• Solid conceptual and practical knowledge of AI/ML technologies, including LLMs, model fine‑tuning, and their application in production environments
• Hands‑on experience using AI‑assisted coding tools (e.g., Git Hub Copilot, Cursor, Claude Code) to build, validate, and deploy production‑level software artifacts
• Strong critical thinking skills with the ability to evaluate and document technical trade‑offs regarding cost, quality, and performance.

Demonstrates expertise in AI/ML technologies, including LLMs and model fine‑tuning, with a strong focus on delivering high‑quality software solutions. Proven ability to conduct applied research and evaluate technical trade‑offs in production environments.