Software Engineer I, Product / Full-Stack

About Kulfi

Kulfi is a digital experiences app for couples, with close to a million users. The company is backed by South Park Commons, and founders/CEOs from Swiggy, Mosaic Wellness, Snitch, and Moonshot.

The Role

Build product features end-to-end across Flutter app, web surfaces, backend APIs, and data. The role requires quick learning, ability to finish tasks, care for user experience, and understanding of shipped code.

Key Responsibilities

• Build and ship product features across app/web, API, and data layers.
• Translate product/design intent into complete user flows, including loading, empty, error, and retry states.
• Debug issues across client, network, backend, and data.
• Write tests, review own diffs, and verify behavior before handoff.
• Analyze user feedback and product metrics to assess release success.
• Utilize AI coding tools for faster development while maintaining responsibility for all code.
• Ask precise questions, communicate blockers early, and learn from direct feedback.

Requirements & Tech Stack

• Experience building and shipping at least one real software project, internship deliverable, freelance product, or meaningful open-source contribution.
• Ability to write readable code and reason through bugs without solely relying on autocomplete or AI.
• Experience across at least two layers: mobile/web, backend/API, database, or deployment.
• Strong attention to product details and user experience.
• Ability to move quickly, test work, and own mistakes.
• Capacity to explain contributions, trade-offs, and potential improvements.
• Comfort working in person in Jayanagar, Bengaluru.
• A computer-science degree is not required; evidence of building is prioritized over credentials.

Useful, Not Mandatory

• Flutter/Dart and mobile fundamentals.
• State management solutions like BLoC or Riverpod.
• Experience with REST APIs, SQL, caching, queues, or real-time systems.
• Experience with Node.js, Go, Python, Java, or another production backend language.
• Familiarity with CI/CD, cloud deployment, monitoring, or app-store releases.
• Thoughtful use of AI coding tools like Claude Code, Codex, or similar.

Interview Process

• Short application review based on shipped work.
• 15–20 minute screening call.
• 75-minute practical product-engineering interview (project deep dive, live task, self-review, changed requirement, product/UX discussion).
• 30-minute founder and mutual-expectations conversation.
• AI tools are permitted during the practical exercise; disclosure and explanation of usage are required.