Anthropic Interview Questions
Practice 140 real Anthropic interview questions for 2026 — actual interviews with detailed solutions and targeted interview preparation for engineers and ML practitioners. This collection emphasizes Coding & Algorithms and System Design first, then Behavioral & Leadership, ML System Design, and Software Engineering Fundamentals. Expect heavy hands-on coding rounds, multi-threading and concurrency problems, end-to-end system design, plus behavioral questions tied to Anthropic’s mission and leadership choices. Roles covered include Software Engineer, Machine Learning Engineer, and Backend Engineer, with Software Engineer as the primary audience. Questions cluster by role: Software Engineer prompts repeat parallel and concurrent processing (parallel/batch image processors, concurrent web crawlers, crawler deduplication), prompt-and-tokenization work (prompt playgrounds, prompt-sharing, longest-match tokenizers), and algorithmic iterator/data-structure tasks. Machine Learning Engineer problems focus on production serving, inference routing and scheduling, model downloaders, caching (LRU), batch inference, and converting execution/state streams to traces. Backend, hiring-fit, and behavioral items probe culture fit and handling misaligned interviews. Prep by practicing timed coding, end-to-end design blueprints, tokenization and batching patterns, ML serving architectures, and concise STAR stories tied to Anthropic’s values.
"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."
Implement a Time-Aware Task Manager
Design and implement an in-memory task management component. Each task belongs to one user. A task has a unique task ID, arbitrary task content, a cre...
Design guardrails and fallback for LLM reliability
You operate a production application that uses an LLM to generate user-facing outputs (text actions, advice, summaries). The model is non-deterministi...
How do you review a design document?
You have an interview on your agenda titled “Design Doc Review.” You are given a written design document for a new feature/service (or a major change ...
Implement a hierarchical file store
Implement a simplified in-memory file store. The store uses absolute Unix-style paths such as /, /docs, and /docs/readme.txt. A path component contain...
Design a Concurrent Domain Crawler
Design a crawler that starts from one seed URL and explores all reachable pages in the same domain efficiently. Discuss: - How you would structure the...
Implement Task Management and Duplicate Detection
You are given two independent coding tasks from a software engineering interview. Task 1: Build an in-memory task management system Implement an in-me...
How do you lead under risk and uncertainty?
Answer the following engineering leadership questions (EM/Senior level). Use specific examples. 1. Tell me about a time you rejected a technically exc...
Describe your most impactful project
Tell me about the project where you had the most impact. Explain the business or user problem, why it mattered, what your specific role was, the harde...
Design distributed median and mode
Distributed System Design: Global Median and Global Mode at Massive Scale Context You are designing a distributed analytics system that must compute t...
Explain batch inference design
You need to generate predictions for a very large offline dataset, such as all users or all products, once per day using an already trained machine le...
Design a concurrent web crawler
System Design: Concurrent Web Crawler (Threads) You are asked to design and implement a basic web crawler that fetches pages concurrently using a thre...
Design a prompt playground
Design a prompt playground for working with large language models. Users should be able to write prompts, run them against one or more models, compare...
Explain multithreading vs multiprocessing
In the context of implementing a crawler, answer the following: 1. What is the difference between multithreading and multiprocessing? 2. How do these ...
Discuss culture and collaboration
Behavioral & Leadership: Team Culture, Feedback, Ambiguity, and Disagree-and-Commit Context: You are interviewing for a Software Engineer role during ...
Design a high-concurrency LLM inference service
You are designing an LLM inference platform that serves interactive user requests (chat/completions) on GPUs. Goals - Support high concurrency with pr...
Implement and derive backprop from scratch
Tiny Neural Network (From First Principles): Binary Classification Context You will implement and analyze a minimal neural network for binary classifi...
How do you handle an LLM agents interview?
You have an interview on your agenda titled “Agents Interview.” Explain how you would approach this interview if it is about designing and evaluating ...
Design a desktop AI chat frontend
Design a Frontend Architecture for a Cross-Platform Desktop Conversational AI App Context You are designing the frontend architecture for a cross-plat...
Convert State Stream to Events
You are given an array states where states[i] is the categorical output of a monitoring function at timestamp i. Consecutive equal values belong to th...
Design a batch inference API
System Design: Async Inference Service API (POST Job, Poll for Results) Context You are designing an asynchronous inference service where clients subm...