Anthropic
AI safety and research company behind Claude, focusing on constitutional AI.
5 Rounds
~20 Days
Very Hard
The Interview Loop
Recruiter Screen (30 min)
Standard fit check, behavioral questions, and resume overview.
Technical Loop (3-4 Rounds)
Deep dive into domain knowledge, coding, and system design.
Interview Question Bank
Full Stack Engineer
•
System Design
•
hard
Design the backend architecture for Claude's chat interface. Focus specifically on how you would handle low-latency streaming of tokens to the client while simultaneously persisting the conversation history to a database.
#Architecture
#Streaming
#Database Design
#Concurrency
Full Stack Engineer
•
System Design
•
hard
Design a telemetry and logging system for LLM outputs that allows researchers to query for safety violations or model hallucinations, without compromising user privacy or storing PII.
#Privacy
#Data Pipelines
#Security
#Analytics
Full Stack Engineer
•
System Design
•
hard
Design a system to handle prompt injection detection. This system must evaluate user input before it reaches the core LLM inference engine, adding no more than 50ms of latency.
#Security
#Low Latency
#Microservices
#Machine Learning
Full Stack Engineer
•
System Design
•
medium
Design an internal annotation tool for researchers to rate and compare model responses (RLHF). It needs to handle concurrent edits, offline support, and high data integrity.
#Internal Tools
#Offline First
#Concurrency
#Data Integrity
Full Stack Engineer
•
System Design
•
hard
Design a scalable document ingestion pipeline that extracts text from user-uploaded PDFs, chunks it, generates embeddings, and stores it in a vector database for RAG.
#Pipelines
#Vector Databases
#Asynchronous Processing
#RAG
Full Stack Engineer
•
System Design
•
hard
Design a usage billing system for an LLM API that charges based on both input and output tokens. It must handle millions of requests per minute and ensure customers are never overcharged.
#Billing
#Distributed Systems
#Event Sourcing
#Idempotency
Full Stack Engineer
•
System Design
•
hard
Design a distributed queue system to manage LLM inference requests. It must prioritize paid tier users over free tier users during high load, while preventing free tier starvation.
#Queueing Theory
#Distributed Systems
#Fairness
#Load Balancing
Full Stack Engineer
•
System Design
•
hard
Design an A/B testing framework specifically for evaluating different versions of an LLM prompt or model weights in production, measuring both user engagement and safety metrics.
#Experimentation
#Analytics
#Routing
#Data Engineering
Full Stack Engineer
•
System Design
•
hard
Design a system for users to upload, manage, and query against their own custom datasets (up to 10GB per user) within a chat interface. How do you ensure isolation and fast retrieval?
#Multi-tenancy
#Storage
#Search
#Security
Difficulty Radar
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Senior EngineerFocuses on core competencies, system constraints, and clear communication.
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