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
Software Engineer
•
System Design
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hard
Design a high-throughput LLM inference service. How would you handle continuous batching, KV cache memory management, and streaming responses back to the client?
#ML Infrastructure
#Distributed Systems
#GPU Memory Management
Software Engineer
•
System Design
•
hard
Design a distributed data pipeline to process petabytes of raw web text for LLM pre-training. It needs to filter out PII, deduplicate documents, and tokenize the text.
#Big Data
#Data Pipelines
#MapReduce
Software Engineer
•
System Design
•
hard
Design a system to monitor, detect, and block prompt injection attacks in real-time across millions of API requests per minute.
#Security
#Stream Processing
#Low Latency
Software Engineer
•
System Design
•
medium
Design a scalable model evaluation framework. Researchers need to run thousands of benchmark tests (MMLU, HumanEval) against new model checkpoints daily.
#Task Queues
#Scalability
#CI/CD
Software Engineer
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System Design
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medium
Design a system for securely storing and querying user conversation history with Claude. The system must ensure strict privacy, support fast retrieval for context windows, and comply with data deletion requests.
#Databases
#Privacy
#Security
Software Engineer
•
System Design
•
medium
Design the backend architecture for Claude.ai's chat interface. How would you handle conversation history, branching conversations (editing a previous prompt), and streaming responses to the frontend?
#API Design
#WebSockets/SSE
#Database Schema
#State Management
Software Engineer
•
System Design
•
hard
Design a distributed web crawler tailored for gathering LLM training data. How do you handle deduplication at a massive scale, respect robots.txt, and prioritize high-quality domains?
#Distributed Systems
#Message Queues
#Hashing
#Data Pipelines
Software Engineer
•
System Design
•
hard
Design a system to evaluate LLM outputs for safety and alignment (Constitutional AI pipeline). How would you architect a high-throughput asynchronous pipeline that runs multiple smaller classifier models on Claude's outputs before returning them to the user?
#Microservices
#Stream Processing
#Latency Optimization
#Machine Learning Infrastructure
Software Engineer
•
System Design
•
hard
Design a multi-tenant Retrieval-Augmented Generation (RAG) system for enterprise clients. How do you ensure data isolation, scalable vector search, and low-latency retrieval?
#Vector Databases
#Security
#Multi-tenancy
#Search
Software Engineer
•
System Design
•
medium
Design an asynchronous batch processing system for offline LLM generation tasks (e.g., summarizing millions of documents). How do you handle retries, partial failures, and dynamic scaling of GPU workers?
#Batch Processing
#Message Queues
#Fault Tolerance
#GPU Infrastructure
Software Engineer
•
System Design
•
medium
Design a telemetry and logging system for tracking model hallucinations or safety violations in production. The system must handle millions of events per minute without impacting the critical path of the inference API.
#Logging
#Asynchronous Processing
#Big Data
#Observability
Software Engineer
•
System Design
•
hard
Design a distributed Key-Value store specifically optimized for caching LLM prompt embeddings. It needs to support high read throughput and fast eviction.
#Distributed Systems
#Caching
#Consistent Hashing
#Replication
Software Engineer
•
System Design
•
hard
Design a global API rate limiting system for Anthropic's enterprise customers. It must be highly available, have minimal latency impact, and strictly enforce limits across multiple geographic regions.
#Distributed Systems
#Redis
#Rate Limiting
#Consistency
Software Engineer
•
System Design
•
hard
Design a streaming inference API architecture. How do you route incoming requests to available GPU workers, handle worker failures mid-stream, and stream the generated tokens back to the client?
#Load Balancing
#Streaming
#Fault Tolerance
#GPU Infrastructure
Software Engineer
•
System Design
•
hard
Design a low-latency inference API for a Large Language Model like Claude. How do you handle request batching, streaming responses, and model weight distribution across GPUs?
#Distributed Systems
#Machine Learning Infrastructure
#Latency Optimization
Software Engineer
•
System Design
•
hard
Design a distributed data processing pipeline to ingest, deduplicate, and filter petabytes of web scraping data for LLM pre-training.
#Data Pipelines
#MapReduce
#Storage
Software Engineer
•
System Design
•
medium
Design a system to detect and block prompt injection attacks in real-time across millions of API requests per day.
#Security
#Stream Processing
#Microservices
Software Engineer
•
System Design
•
medium
Design a scalable chat history storage system for a consumer-facing LLM application (like Claude.ai) that allows fast retrieval of recent messages and efficient storage of long contexts.
#Databases
#Caching
#Data Modeling
Software Engineer
•
System Design
•
hard
Design a distributed caching layer for LLM responses to serve identical queries instantly. How do you handle cache invalidation, semantic similarity, and high read/write throughput?
#Caching
#Vector Databases
#Distributed Systems
Software Engineer
•
System Design
•
hard
Design a telemetry and monitoring system for a cluster of 10,000 GPUs. It needs to detect hardware failures, thermal throttling, and network bottlenecks in real-time.
#Monitoring
#Distributed Systems
#Hardware Infrastructure
Software Engineer
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System Design
•
medium
Design an A/B testing framework specifically for evaluating new versions of an LLM. How do you route traffic, measure qualitative metrics (like helpfulness), and ensure statistical significance?
#A/B Testing
#Data Engineering
#Analytics
Software Engineer
•
System Design
•
medium
Design an asynchronous batch processing system for offline LLM inference (e.g., processing millions of documents for embeddings).
#Batch Processing
#Message Queues
#Scalability
Software Engineer
•
System Design
•
hard
Design a real-time collaborative prompt engineering tool (similar to Google Docs for prompts) where multiple users can edit, test, and version-control prompts simultaneously.
#Real-time Systems
#Operational Transformation
#WebSockets
Software Engineer
•
System Design
•
medium
Design a rate-limiting service that supports multiple dimensions: per user, per organization, and per IP address, with different limits for each.
#API Design
#Redis
#Scalability
Software Engineer
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Technical
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medium
Design the database schema for a chat application like Claude. It must support users, chat sessions, individual messages, and the ability to 'edit and retry' a message, which creates a new branch of the conversation.
#SQL
#Database Schema
#Trees
#Data Modeling
Difficulty Radar
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Senior EngineerFocuses on core competencies, system constraints, and clear communication.
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