Full Stack Engineering (AI-Native Builder)

About the Role

We are building AI-powered products focused on automation, analytics, OCR workflows, reporting systems, and operational intelligence for real-world business and industrial use cases. This is a high-ownership internship where you will work directly with the founders to build actual products used in real environments — not dummy assignments. 1.

Build internal tools, dashboards, and product features. 2. Develop frontend and backend systems rapidly. 3. Work on AI-assisted workflows using tools such as Claude Code, Cursor, GPT, and similar platforms. 4. Integrate APIs, databases, OCR pipelines, automation systems, and AI models. 5. Build MVPs and prototypes quickly. 6.

Improve and iterate existing products based on feedback. 7. Work across multiple product ideas and experiments. What we’re looking for: 1. Strong execution ability and a builder mindset over specific tech stack expertise. 2. Passion for building products quickly. 3. Comfort in learning new technologies independently. 4.

Proactive attitude with the ability to solve problems independently. 5.

Job Details

Experience: building personal, college, or side projects. 6. Comfort using AI coding tools extensively. 7. Strong problem-solving and debugging abilities. 8. Excitement to work in a fast-moving startup environment. Preferred skills (not mandatory): 1. React or Next.js. 2. Node.js or Python. 3. APIs and database integration. 4. Basic deployment knowledge. 5. AI tools such as Claude Code, Cursor, Copilot, GPT, and similar platforms. 6. Automation, scraping, or OCR experience is a plus. Important: 1. The company does not prioritize DSA rankings, competitive coding, perfect knowledge of one framework, or college brand name. 2. The company values the ability to build, speed of execution, ownership, curiosity, and a strong problem-solving mindset. Internship details: 1. Role: Full Stack Engineering Intern. 2. Duration: 3–6 months. 3. Mode: Remote or Hybrid. 4. Stipend: ₹10,000 – ₹15,000 per month. 5. Opportunity for a long-term or full-time role based on performance. How to apply: 1. Share your GitHub profile. 2. Share links or demo videos of your best projects. 3. Include a short note explaining: 1. What you have built recently. 2. Which AI coding tools you use. 3. A project you built quickly and are proud of. 4. Applications without projects, GitHub profiles, or work samples are unlikely to be shortlisted.