Full Stack Engineer Internship

# About Dyyota

At **Dyyota**, we're building next-gen AI Agents that simplify complex workflows using magical, intuitive interfaces. Our mission is to make AI genuinely useful and delightful for businesses and creators.

## Our Flagship Products

- **AI Agents for Interior Design** 

 Creating personalized, photorealistic interior designs using cutting-edge AI to help users visualize and customize their spaces effortlessly.

- **AI Agents for Website Launch** 

 Automating website creation and deployment, enabling businesses to launch professional websites quickly with minimal manual effort.

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## Leadership & Team

As a **Full Stack Software Engineer Intern** at Dyyota Tech, you will work alongside our CEO, **Rajesh Pentakota**, an IIM Ahmedabad alumnus and senior product leader who has worked with top tech companies like **Zynga, Flipkart**, and **Walmart**. 

You'll join a fast-moving early-stage team, work closely with experienced engineers and the founder, and contribute meaningfully to real-world AI products.

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## Who Can Apply?

- Currently pursuing a **B.Tech** (preferably in **Computer Science**) from premium Engineering colleges 

- Available **full-time (hybrid)** for **6 months** 

- Passionate about startups, eager to solve real-world problems, and comfortable wearing multiple hats 

- Quick learner, takes ownership, and can work independently with minimal supervision 

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## Technical Requirements

### Frontend

- Strong proficiency in **React.js** and **Next.js** framework 

- Experience with modern **JavaScript (ES6+)** and **TypeScript** 

- Expertise in **HTML5**, **CSS3**, and responsive design 

- Knowledge of state management (**Redux**, **Context API**, **Zustand**) 

- Familiarity with **SSR/SSG** concepts in Next.js 

### Backend

- Expert-level **Node.js** and **Express.js** development 

- **RESTful API** design and implementation 

- Experience with authentication and authorization (**JWT**, **OAuth**) 

### Database

- Proficiency with **MongoDB** (including **Mongoose ODM**) 

- Experience with SQL databases (**PostgreSQL/MySQL**) 

- Understanding of database optimization and indexing 

> **MERN Stack**: Complete end-to-end development experience with **MongoDB**, **Express.js**, **React.js**, and **Node.js**

### Generative AI

- Hands-on experience with **LLMs** (GPT, Claude, Gemini, etc.) 

- Understanding of **prompt engineering** and AI integration 

- Experience with AI frameworks (**LangChain**, **Hugging Face**, etc.) 

### DevOps

- Proficiency with **Docker** and **Kubernetes** 

- Experience with **CI/CD tools** (Jenkins, GitLab CI, GitHub Actions) 

- Familiarity with cloud platforms (**AWS / Azure / GCP**) 

- Knowledge of **Infrastructure as Code** (**Terraform / CloudFormation**) 

- Version Control: **Git** and collaborative workflows 

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## Preferred Additional Skills

- Experience or interest in cloud platforms (preferably **Azure**) and deployment workflows 

- Comfortable working with developer tools like **Claude Coder**, **Cursor**, **Windsurf**, **Supabase**, etc. 

 > "Vibe coding" — leveraging AI/dev tools to accelerate development 

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## What You'll Do

- Build and ship new features across the **full stack** for real customers 

- Collaborate with founders and engineers to **design**, **develop**, **test**, and **deploy** scalable solutions 

- Work on projects involving **AI agents**, **automation**, and **cloud-native** applications 

- Contribute to a fast-paced, **learning-driven** startup environment 

- Implement robust **backend APIs** and integrate with various databases 

- Develop **responsive**, modern frontend interfaces using **React** and **Next.js** 

- Deploy and maintain applications using **containerization** and **cloud technologies** 

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## What You'll Gain

- **Mentorship** from experienced founders and engineers 

- Opportunity to work on **cutting-edge AI** and **full-stack** projects 

- **Fast learning curve** and real **ownership** of impactful work 

- Potential for a **Pre-Placement Offer (PPO)** based on performance (₹6–10 LPA)