Akamai Technologies

Typical interview loop

How Akamai Technologies usually runs it for applied AI and LLM engineer roles.

1. 1

   Technical assessment

   Focus: CS fundamentals, coding, SQL

   Technical candidates usually complete an assessment first; candidates describe a HackerRank test with CS-fundamentals multiple choice, coding problems and a SQL task.

2. 2

   Technical phone screen

   Focus: DSA, networking

   For experienced hires, an hour-long call after the recruiter screen that combines algorithm problems with networking knowledge.

3. 3

   Technical interview

   Focus: Coding, projects, OS/Linux

   You talk through your approach, then implement it live, and the interviewer probes your projects, OS, databases and Linux.

4. 4

   System design

   Focus: Distributed systems, edge scale

   Experienced candidates design an internet-scale service, typically something in the CDN, routing or DDoS-defence space.

5. 5

   Managerial and HR rounds

   Focus: Behavioral, project ownership

   A manager checks project depth, teamwork and interest in Akamai's work, followed by a brief HR chat on goals and logistics.

Topics to prepare for Akamai Technologies

The topics its loop weighs most, each with what interviewers check and what to study.

• GenAI system designSystem design
• Cost and latency engineering for LLM appsSystem design
• RAG vs fine-tuning vs prompting: choosing the approachSystem design
• Design an AI customer-support agentSystem design
• Design enterprise document search / a knowledge assistantSystem design
• Python for ML interviewsCoding
• Calling LLM APIs in Python: async, streaming, retriesCoding
• Self-attention from scratchTransformers

How it weights your plan

Selecting Akamai Technologies when you build a plan multiplies each topic’s priority score: