Xen.ai Software Engineer interview typically runs 6 rounds: two online coding interviews, system design, two more coding interviews, a technical presentation, and a hiring manager chat. The process usually takes more than a month and can involve frequent scheduling delays.
$150K
Avg. Base Comp
$210K
Avg. Total Comp
6
Typical Rounds
4-6 weeks
Process Length
We’ve seen Xen.ai evaluate candidates less on exotic technical tricks and more on whether they can carry a solution cleanly through a fairly broad, somewhat uneven process. The coding itself was described as standard LeetCode medium-style work, and one candidate got through those rounds without major issues. What mattered more was the feeling of the conversation: the interviewers were reportedly quiet and didn’t offer many follow-ups, which makes it harder to recover if your explanation is fuzzy or overly verbose. In other words, clarity under low guidance seems to matter a lot here.
A recurring theme is that the company appears to care about how you operate across multiple formats, not just in isolated problem-solving. The final stretch included system design, more coding, a technical presentation, and a hiring manager conversation, which suggests they want engineers who can move between implementation and explanation without losing coherence. The only feedback the candidate received was “communication issues,” and that lines up with the broader experience: when interviewers are sparse on prompts, they may be judging how well you structure your thinking, not how much you can say. We’d treat Xen.ai as a place where concise, well-organized technical communication is part of the bar, not an afterthought.
Synthesized from 1 candidate report by our editorial team.
Had an interview recently?
Share your experience. Unlock the full guide.
Real interview reports from people who went through the Xen.ai process.
The process dragged on for more than a month, and honestly the hardest part wasn’t the questions — it was the scheduling. I had two online coding interviews first, both of them pretty standard LeetCode medium-style problems. Nothing exotic there, just the usual pressure of solving cleanly while talking through the approach. I was able to get through those rounds without major issues, so I went into the final onsite expecting a more straightforward finish.
The onsite was much broader: a system design interview, two additional coding interviews, a technical presentation, and then a hiring manager chat. That made it feel like a full-day loop rather than a quick final screen. What stood out most was how much the process was delayed. Several interviews got postponed at the last minute, twice, and two interviewers didn’t show up until I reached out to HR. I eventually got rejected, and the only feedback I received was “communication issues,” which felt vague to me because the interviewers were mostly quiet and didn’t really ask follow-up questions. I left with the impression that the coordination on their side was part of the problem. If you’re interviewing here, I’d be ready for standard coding questions, a real system design round, and a process that may take longer than expected.
Prep tip from this candidate
Brush up on typical LeetCode medium coding problems and be ready for a system design round plus a technical presentation in the final onsite. Also expect the process to stretch out, so it helps to stay proactive with follow-ups if interviews get rescheduled.
Share your own interview experience to unlock all reports, or subscribe for full access.
Sourced from candidate reports and verified by our team.
Topics based on recent interview experiences.
Featured question at Xen.ai
Select the 2nd highest salary in the engineering department
| Question | |
|---|---|
| Empty Neighborhoods | |
| Top Three Salaries | |
| Closest SAT Scores | |
| Merge Sorted Lists | |
| Subscription Overlap | |
| Monthly Customer Report | |
| String Shift | |
| Raining in Seattle | |
| Job Recommendation | |
| Rolling Bank Transactions | |
| Bagging vs Boosting | |
| Customer Orders | |
| Top 3 Users | |
| Comments Histogram | |
| Random SQL Sample | |
| First Touch Attribution | |
| Prime to N | |
| Upsell Transactions | |
| Scrambled Tickets | |
| Minimum Change | |
| Size of Joins | |
| Find the First Non-Repeating Character in a String | |
| P-value to a Layman | |
| The Brackets Problem | |
| Daily Retention Summary | |
| Hurdles In Data Projects | |
| Level Of Rain Water In 2D Terrain | |
| Recurring Character | |
| Sum to N |
Synthesized from candidate reports. Individual experiences may vary.
The process began with an online coding interview focused on a standard LeetCode medium-style problem. The candidate was expected to solve it cleanly while explaining the approach out loud.
A second online coding interview followed, and it was described as similarly standard and medium-level in difficulty. The experience suggests the early rounds were mainly about solid problem solving and communication during implementation.
The final onsite included a system design round that was broader than the earlier coding interviews. This was one of the main technical components of the last stage and signaled a shift from algorithmic questions to architecture and design thinking.
As part of the final onsite loop, there was another coding interview beyond the initial two screens. The candidate described the onsite as a full-day sequence, so this round was one of multiple technical interviews in that final stretch.
A second additional coding interview was included in the onsite loop, making the final stage more extensive than a typical single interview. The overall process emphasized repeated coding evaluation across multiple rounds.
The onsite concluded with a technical presentation and a hiring manager conversation. The candidate noted that the whole final stage felt like a full-day loop, and the process was delayed by scheduling issues and last-minute postponements before the final rejection.
