Anthropic Senior Software Engineer Interview Questions

1.Describe a time when new data or evidence forced you to completely rethink your technical approach mid-project. What changed your mind and how did you handle the pivot?

2.Describe a time you had to choose between shipping a feature quickly and implementing additional safety checks or monitoring. How did you make that decision and what was the outcome?

3.Tell me about a time you pushed back on a tight deadline because you weren't confident the system would be safe or reliable in production. What was at stake and how did you handle the pushback?

4.Walk me through a career decision where your personal values played a significant role, even when it might have been easier to choose differently. What values were at stake?

5.Tell me about a time you worked with researchers to turn a theoretical insight or paper into something that actually shipped in production. What was the biggest challenge in that translation?

6.Tell me about the most significant time you had to admit you were wrong about a technical assumption and change course. What made you realize you were wrong and how did your team react?

7.You need to store and efficiently retrieve embeddings for millions of documents that users upload to Claude. Queries need to return the top-k most similar documents in under 50ms. What's your approach?

8.You're implementing a rate limiting system for the Claude API that needs to handle different subscription tiers, usage quotas, and burst allowances. The system serves 100k+ RPS globally. Walk me through your design.

9.You're building a safety evaluation pipeline for Claude that needs to process thousands of prompts through multiple models in parallel. Each evaluation can take 10-30 seconds and you need results within 5 minutes total. How would you design this system?

10.Write a Python function that takes a conversation history and identifies potentially harmful requests that should trigger additional safety checks before reaching Claude. Consider both explicit and subtle harmful patterns.

11.Claude's API serves millions of requests daily with strict latency requirements. A customer reports that requests with very long context windows are timing out intermittently. Walk me through your debugging approach.

12.Claude Code needs to analyze large codebases to provide context-aware suggestions. How would you design a system that can efficiently index and search across millions of lines of code while preserving semantic relationships between functions and classes?

13.Design a content moderation queue for Claude API that can review potentially harmful requests in real-time while maintaining our 95th percentile latency SLA of under 2 seconds.

14.Design a global load balancing system for Claude API that routes requests to the best inference cluster while considering model availability, regional latency, and compute costs across multiple cloud providers.

15.Claude Code needs to execute user code in isolated environments while maintaining sub-second response times. Design a sandboxing system that can spin up secure containers for arbitrary code execution across multiple programming languages.

16.Design a feature experimentation platform for Claude's web interface that can run A/B tests on conversation flow, UI changes, and model behavior. The system needs to handle 10 million daily conversations while maintaining statistical rigor.

17.Design Claude for Enterprise's audit logging system that tracks every API call, conversation, and admin action across thousands of organizations. The system needs to retain data for 7 years while supporting real-time compliance queries.

18.Claude's conversation interface needs a smart context management system that decides which parts of long conversations to keep in memory as users approach the model's context limit. Design this system for handling millions of concurrent conversations.

19.Tell me about a time you had to influence a research team or ML scientists to adopt an engineering approach they were initially skeptical of. What was your strategy?

20.Describe how you've mentored a junior engineer to think more rigorously about AI safety considerations in their day-to-day work. What specific changes did you see?

21.Describe a situation where you had to convince engineers on other teams to prioritize safety or reliability improvements that would slow down their feature delivery. How did you approach it?

22.Tell me about a time you had to lead an incident response where the root cause was unclear and multiple teams were pointing fingers. How did you get to resolution?

23.Walk me through how you'd lead a cross-functional effort to implement Constitutional AI techniques in a production system where multiple teams own different components.

24.You're leading a project where the research team wants to try a novel safety technique, but it would require significant engineering resources and might delay a key product milestone. How do you navigate this tension?

25.Claude API traffic dropped 15% overnight with no code changes or incidents. Walk me through how you'd investigate this and what you'd check first.

26.Estimate how many GPU hours Anthropic uses per month to serve Claude conversations. Walk me through your reasoning.

27.Claude Enterprise customers want to upload their company knowledge base and get instant answers. Estimate the storage and compute costs if 1000 enterprise customers each upload 10GB of documents.

28.We're seeing Claude's response quality degrade for coding questions, but our model eval scores haven't changed. How would you investigate and identify the root cause?

29.Design a real-time monitoring system that detects when Claude's safety filters are being circumvented by novel jailbreaking techniques. The system needs to catch new attack patterns within hours, not days.

30.Claude Code needs to suggest refactoring improvements across a 2 million line codebase. Estimate the computational cost and design the analysis pipeline to make this economically viable.