Anthropic Software Engineer Interview Questions
Anthropic Software Engineer interview questions tend to reflect the company’s dual focus on building reliable, high-quality software and on safe, responsible AI. Expect a blend of practical algorithmic coding, systems design, and mission-aligned behavioral or safety reasoning. Interviewers often probe clarity of thought and written communication as much as raw coding speed, and you should be ready to explain trade-offs, failure modes, and how you would make a system robust in real-world conditions. For interview preparation, plan for a multi-step process: an initial recruiter screen, a timed coding exercise or take-home, a hiring-manager conversation, and a longer onsite loop that mixes coding, design, and culture-fit questions. Prepare by practicing medium-to-hard coding problems with an emphasis on clean, modular solutions, refreshing distributed-systems and API design fundamentals, and producing concise one-page design notes or safety-minded postmortems you can discuss. Balance technical polish with concrete stories of impact and collaboration; reviewers are looking for engineers who can ship reliable systems, reason about edge cases, and communicate trade-offs clearly.
"I got asked a hardcore MCM DP question and I saw it on PracHub as well. Solved that question in 5 minutes. Without PracHub I doubt I could solve it in 5 hours. Though somehow didn't get hired, perhaps I guess I solved it too fast? /s"
"Believe me i'm a student here jn US. Recently interviewed for MSFT. They asked me exact question from PracHub. I saw it the night before and ignored it cause why waste time on random sites. I legit wanna go back and redo this whole thing if I had chance. Not saying will work for everyone but there is certainly some merit to that website. And i'm gonna use it in future prep from now on like lc tagged"
"10 years of experience but never worked at a top company. PracHub's senior-level questions helped me break into FAANG at 35. Age is just a number."
"I was skeptical about the 'real questions' claim, so I put it to the test. I searched for the exact question I got grilled on at my last Meta onsite... and it was right there. Word for word."
"Got a Google recruiter call on Monday, interview on Friday. Crammed PracHub for 4 days. Passed every round. This platform is a miracle worker."
"I've used LC, Glassdoor, and random Discords. Nothing comes close to the accuracy here. The questions are actually current — that's what got me. Felt like I had a cheat sheet during the interview."
"The solution quality is insane. It covers approach, edge cases, time complexity, follow-ups. Nothing else comes close."
"Legit the only resource you need. TC went from 180k -> 350k. Just memorize the top 50 for your target company and you're golden."
"PracHub Premium for one month cost me the price of two coffees a week. It landed me a $280K+ starting offer."
"Literally just signed a $600k offer. I only had 2 weeks to prep, so I focused entirely on the company-tagged lists here. If you're targeting L5+, don't overthink it."
"Coaches and bootcamp prep courses cost around $200-300 but PracHub Premium is actually less than a Netflix subscription. And it landed me a $178K offer."
"I honestly don't know how you guys gather so many real interview questions. It's almost scary. I walked into my Amazon loop and recognized 3 out of 4 problems from your database."
"Discovered PracHub 10 days before my interview. By day 5, I stopped being nervous. By interview day, I was actually excited to show what I knew."
"I recently cleared Uber interviews (strong hire in the design round) and all the questions were present in prachub."
"The search is what sold me. I typed in a really niche DP problem I got asked last year and it actually came up, full breakdown and everything. These guys are clearly updating it constantly."
Compute exclusive times and call stack from logs
Design an algorithm that, given a single-threaded program's execution log, computes per-function exclusive durations and reconstructs the active call ...
Design a scalable, reliable system
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Implement Parallel Image Processing
Build an image-processing utility in Python using the Pillow library. You are given a collection of image file paths and an output directory. For each...
Design file deduplication across nested directories
Design and implement a file deduplication tool that, given a root directory, identifies groups of duplicate files. Requirements: traverse nested direc...
Implement crawler, dedup, and persistent LRU
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Walk through a recent technical project
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Detect runs and answer suffix queries
Given an array of comparable elements a[0..m-1] and an integer N: 1) Write a function that returns the maximum length of any run of consecutive equal ...
Design an IPv4 Address Iterator
Design a class that iterates through IPv4 addresses. An IPv4 address is a string in the form a.b.c.d, where each octet is an integer from 0 to 255. Im...
Implement hostname-restricted web crawler
Implement a single-threaded web crawler that, given a starting URL startUrl and an interface getUrls(url) that returns all hyperlinks on the page at u...
Schedule instructions on a VLIW pipeline
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Implement file deduplication at scale
Implement a command-line tool to find duplicate files in a directory tree. Use OS/pathlib primitives to recursively enumerate files. Apply prefilters ...
Review an inference API design for scale
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Discuss career decisions and culture fit
Behavioral and Leadership Technical Screen — Software Engineer Context You’ll be assessed on how you make and communicate decisions, collaborate acros...
Design an LLM-based binary classifier
Design a Binary Text Classifier Using Only a Log-Probability Scoring Helper Context You are building a binary text classifier without fine-tuning. You...
Optimize a compute kernel with a simulator
Performance Optimization Plan for a Compute Kernel Context You are given: - A compute kernel (single critical function or set of loops) to optimize. -...
Guide and override compiler optimizations
Guiding a Compiler for a VLIW-like Backend You are optimizing hot loops for a VLIW-like target (e.g., DSP/AI accelerator) where the compiler sometimes...
Present project and answer behaviorals
Behavioral & Leadership Project Presentation (Software Engineer) You are interviewing onsite for a Software Engineer role. Prepare a slide-style narra...
Detect duplicate files by content
Detect duplicate files by content in a filesystem. Given access to a directory tree, return groups of file paths that have identical byte content. Min...
Find and remove duplicate files
Given a directory tree that may not fit in memory, detect and optionally remove duplicate files. Define the algorithm, including how you handle very l...
Answer general fit and AI safety questions
Behavioral and AI-Safety Interview Prompts (Software Engineer, Onsite) Context You are interviewing for a Software Engineer role at an AI-focused orga...