Cisco
Networking and security giant; GenAI, agents and Splunk observability ML
Interview in a few hours? A quick sprint for Cisco
AI in interviews
AI is fine for preparation, polishing writing, brainstorming and checking code beforehand, but not for scripting interview or assessment answers or generating real-time solutions to coding or design problems. Your answers must be your own.
Typical interview loop
How Cisco usually runs it for applied AI and LLM engineer roles.
- Focus: Background, motivation
Recruiter screen
If you're selected, a recruiter calls to learn about you, explain the steps for your team and answer questions.
- Focus: Project fit, working style
Hiring manager conversation
A conversational round on your past projects, working style and how your experience fits the team's direction.
- Focus: DSA, ML basics
Technical screen / assessment
A coding interview or assessment, usually medium data-structure problems plus ML fundamentals questions on your AI and ML work.
- Focus: Breadth, practical GenAI
Final interview block
Several back-to-back interviews with engineers, a PM and a director covering system design, coding, ML, AI awareness and ethics; some candidates also get a hands-on task reading an unfamiliar AI codebase.
How it weights your plan
Selecting Cisco when you build a plan multiplies each topic’s priority score:
Official prep and resources
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