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Experience / Eligibility
B.E / B.Tech
Salary
₹9 - 15 LPA
Location
Bangalore, Karnataka, India
Suitable For
College graduates, entry-level candidates, and students matching: B.E / B.Tech.
Key Skills to Prepare
Focus on Python, Java, JavaScript, Dart.
Build and ship small product features across app/web, API, and data layers.
Turn product/design intent into complete user flows, including loading, empty, error, and retry states.
Debug issues across client, network, backend, and data—not stop at the first layer.
Write tests, review your own diff, and verify behavior before handoff.
Read user feedback and product metrics to understand whether a release worked.
Use AI coding tools to move faster while remaining responsible for every line you ship.
Ask precise questions, communicate blockers early, and learn from direct feedback.
You have built and shipped at least one real software project, internship deliverable, freelance product, or meaningful open-source contribution.
You can write readable code and reason through bugs without blindly relying on autocomplete or AI.
You have worked across at least two layers: mobile/web, backend/API, database, or deployment.
You care about product details and notice when a technically correct feature creates a bad user experience.
You move quickly, but you test your work and own mistakes.
You can explain your contribution, trade-offs, and what you would improve next.
You are comfortable working in person in Jayanagar, Bengaluru. A computer-science degree is not required. Evidence of building matters more than credentials.
Useful, not mandatory
Flutter/Dart and mobile fundamentals.
State management such as BLoC or Riverpod.
REST APIs, SQL, caching, queues, or real-time systems.
Experience with Node.js, Go, Python, Java, or another production backend language.
CI/CD, cloud deployment, monitoring, or app-store releases.
Thoughtful use of Claude Code, Codex, or similar tools.
What success looks like
Within three months, you can own a scoped feature from problem statement to release, handle the obvious failure states, write useful tests, review your own work, and explain what user signal or metric should improve.
Interview process
Short application review based on shipped work.
15–20 minute screening call.
75-minute practical product-engineering interview combining a project deep dive, live task, self-review, changed requirement, and product/UX discussion.
30-minute founder and mutual-expectations conversation.
We allow AI tools during the practical exercise. You must disclose how you used them and be able to explain and defend the final code.
Please answer the application questions yourself. Clear and specific beats polished and generic.
Essential Python interview questions asked by product startups and service-based IT companies during fresher campus and off-campus placements.
Technical PrepThe ultimate Core Java technical interview preparation guide covering fundamental concepts, code snippets, trick questions, and real interview scenarios.