Adyen
Global payments platform using ML for real-time risk, fraud and AML
Interview in a few hours? A quick sprint for Adyen
AI in interviews
No public policy found. Assume no AI assistance in live rounds unless your recruiter says otherwise.
Typical interview loop
How Adyen usually runs it for applied AI and LLM engineer roles.
- Focus: Relevant experience
Recruiter screen
A recruiter reaches out to learn about you and the experience most relevant to the role.
- Focus: Role and team fit
Team interview
A deeper conversation with someone from the hiring team about the role, your background and how the team works.
- Focus: Technical skills
Skills assessment
For technical roles, a technical skills test (other roles get a case study presentation instead).
- Focus: Motivation and values
Leadership interview
A conversation with a leader from the team you'd join, centred on why you want to work at Adyen.
- Focus: Senior leadership fit
Final interview
A last interview with a senior executive from the Management Board or Global Leadership team.
Topics to prepare for Adyen
The topics its loop weighs most, each with what interviewers check and what to study.
- Behavioral interviews: STAR stories for AI engineersBehavioral
- The project deep-dive roundBehavioral
- Story bankBehavioral
- Interview openers and closersBehavioral
- GenAI system designSystem design
- Python for ML interviewsCoding
- Cost and latency engineering for LLM appsSystem design
- Calling LLM APIs in Python: async, streaming, retriesCoding
How it weights your plan
Selecting Adyen when you build a plan multiplies each topic’s priority score:
Official prep and resources
Public candidate write-ups
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