I applied online. I interviewed at Intuit (Mountain View, CA) in Mar 2026
Interview
It has been outsourced to Uptime Crew, there are 5 stages in total
1)Online Assessment
2)Recruiter Screen
3)Build Challenge
4)Tech screen for the challenge
5)Final interview (60 mins) with Intuit
Round 1 OT:
This was a timed test that included:
- 2 DSA questions
- 1 SQL question
- 1 Bash programming question
Round 2 Getting to know you and Process Overview:
This is mostly a non-technical round. The goal is to understand your education/experience background, AI mindset & application and your problem-solving mindset. I was asked to explain a project I had done (in non technical terms), how I used AI for it and how I can prompt to get better responses from AI
Round 3 Build challenge:
A build assessment focused on real-world engineering skills like concurrency and data processing. We can choose the language as Python or Java. It takes about 2-4 hours and consists of 2 questions.
There are 2 more rounds, but they stopped hiring after I was done with the 3rd round
Interview questions [1]
Question 1
Usage of AI assistants (talk about what tools you’ve worked with) think about Code Quality, Judgment decisions you’ve had to make, Troubleshooting
How to prompt to get better responses from agent
Explain a technical project in layman terms
I applied through a recruiter. I interviewed at Intuit (Bengaluru) in Mar 2026
Interview
I recently completed the full interview process for a Software Engineer role at Intuit.
Although I didn’t receive an offer this time as the hiring cycle closed, the experience was incredibly valuable.
Here’s a breakdown of the process:
🔹 Coding Challenge
- DP-based DSA problem
- SQL query
- Basic Bash file operations
🔹 Recruiter Round
- Discussed how I use AI tools in development
- Walked through my project end-to-end
- Prompting strategies for adding new features
🔹 Build Challenge (2–4 hours)
- Built 2 assignments using AI-assisted development
- Focus on speed + correctness + clean repo submission
🔹 Technical Screen
- Deep dive into my solution
- Trade-offs, optimizations, caching (Redis)
- System-level thinking and cost considerations (RAG, infra)
🔹 Final Round
- Presentation-style discussion on approach and decisions
💡 Key takeaways:
- Communication and clarity matter as much as coding
- Understanding trade-offs is critical at every stage
- Knowing how to effectively use AI in development is now a core skill
I’m actively looking for Software Engineer roles and would love to connect with teams building impactful products.
If you’re hiring or know someone who is, I’d really appreciate a referral.
#OpenToWork #SoftwareEngineering #InterviewExperience #Learning
Interview questions [1]
Question 1
Try understanding how to maintain and scale your product