Real Interview Experiences
Learn what to expect directly from candidates and interviewers who've been through it.
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“The process was pretty rigorous, mainly because the bar at E6 felt more about scope and judgement than just solving the questions. Recruiter was clear and helpful. The coding rounds went ok, but I spent too long explaining some edge cases. Design was probably the strongest part, good back-and-forth and tradeoffs. Behavioral was fine, though I could’ve been more specific with impact numbers. Overall, a solid process but definitely tiring.”
“Fairly standard interview process, recruiters are very helpful in giving general direction of how to prepare for each interview”
“Overall process is good, recruiter moves fast, interviewer is collaborative. The expectation for coding round is high - aim for optimal and bug-free solution. ”
“Overall, the interview went well, especially considering that it was my first real technical interview. I was able to answer most of the personal and technical questions confidently, and I explained my previous internship experience and my motivation for learning backend development. However, I found some parts challenging, especially the problem-solving question. I also felt a little nervous at the beginning, which made it harder to organize some of my answers. Looking back, I think I needed a little more time to prepare, especially for technical and problem-solving questions. Overall, it was a valuable experience, and I learned a lot from it.”
“Technical being able to use Generic types and useEffect cleanup in a live coding environment without any references”
“Warm people, you can google stuff but no AI. Interview questions are available online but not ditto, you'll see variations in the interview so be ready.”
“Very smooth and clear, the recruiter laid down what the expectations are, and the coding interview was mostly leetcode medium level.”
“Overall, I've really enjoyed the interview process so far. What stood out to me was that each conversation felt a little different and gave me a better understanding of what Deployed Engineering actually looks like at LangChain. The early conversations focused more on my background, the types of customers I work with today, and some of the AI projects I've been involved in. As the process moved forward, the discussions became more technical, but not in a "gotcha" kind of way. The team seemed much more interested in how I think through problems, how I work with customers, and how I approach building and operating AI systems than whether I could recite framework internals from memory. The peer interview was probably my favorite part so far. It felt more like a conversation between engineers than a traditional interview. We spent a lot of time talking about agents, coding assistants, observability, evaluation, customer adoption, and where the industry is heading. I left that conversation feeling like I had learned something, which isn't always the case in interviews. I think one thing that went well was being able to connect my experience at Databricks to the kinds of challenges LangChain customers are facing. A lot of the conversations around AI over the last year have shifted from "Can we build this?" to "How do we trust it?", "How do we debug it?", and "How do we get it into production?" Those are discussions I've been having with customers already, so I felt comfortable speaking about them. If there's an area that challenged me, it was probably realizing just how broad the LangChain ecosystem has become. Going into the process, I was familiar with LangChain and had spent time around LangGraph and LangSmith, but the interviews made it clear that the role requires understanding not just how to build agents, but how to help customers evaluate, improve, and operate them over time. There are definitely areas where I'm still learning, particularly around some of the deeper platform and infrastructure topics, but I think I was honest about where my strengths are and where I'm continuing to grow. More than anything, the process has reinforced why I'm interested in the role. The combination of technical depth, customer interaction, problem solving, and being close to where agent technology is evolving feels very aligned with what I enjoy doing and where I want to continue developing my career. ”
“The process was smooth in terms of communication and scheduling. The people I met were incredibly kind and high caliber. They were highly personable and seem they are trying to find others who can continue its culture of excellence.”
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“The weirdest Anthropic round was the company values interview. It was almost like a therapy session, and honestly if you went to a therapist at some point, you will pass that round much more easily.”
“What was very unusual is they didn’t give me any tooling to draw the system design, so I just sketched it on a piece of paper and talked them through it, then we got into this oddly deep debate about whether hover-over history should count as a recommendation signal.”
