Node.js Blockchain Developer Internship at Arakoo.ai
📍 Location: Work from home
⏳ Duration: 6 Months
💰 Stipend: ₹30,000 – ₹35,000/month
🗓️ Apply by: 26th Feb 2025
🕒 Work Hours: 11 AM – 7 PM (Monday to Saturday)

About the Internship
Arakoo.ai is hiring a Node.js Blockchain Developer Intern to work on cutting-edge blockchain and AI technologies. As part of the team, you’ll contribute to developing infrastructure for GPT-class AI models, leveraging TypeScript, Express.js, Terraform, and blockchain frameworks.
Key Responsibilities
As a selected intern, you will:
- 🏗️ Build blockchain libraries using Express.js, Webpack, and ESBuild in TypeScript.
- ⚙️ Work with advanced TypeScript packaging/testing tools like Jest, Mocha, Webpack, and Gulp.
- 🛠️ Customize the build and deployment of libraries such as Hono.js and Nest.js.
- 🤖 Combine Generative AI features with blockchain (AI x Crypto).
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Skills Required
To be eligible for this internship, you must have experience with:
- ✅ Node.js
- ✅ Express.js
- ✅ TypeScript
- ✅ Terraform (Infrastructure as Code)
- ✅ Proficiency in advanced JavaScript build tools (Jest, Mocha, Webpack, Gulp).
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Who Can Apply?
You’re eligible to apply if you:
- 👩💻 Are available for a work-from-home internship for 6 months.
- 📅 Can start between 24th Jan 2025 and 28th Feb 2025.
- 🎯 Have the relevant skills and interest in blockchain development.
- 🌟 Women looking to restart their careers are encouraged to apply.
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Perks & Benefits
- 📜 Certificate upon successful completion.
- 🌟 Letter of Recommendation to boost your career.
- 🎯 Work on exciting AI x Blockchain projects.
- 🏡 Flexible remote work environment.
- 🚀 Potential job opportunities post-internship.
Selection Process
Candidates will be assessed based on a coding assignment using the EdgeChains.js library. Selection will strictly depend on your performance in the assignment.
About Arakoo.ai
Arakoo.ai is an open-source startup dedicated to building infrastructure for GPT-class AI models like ChatGPT, Anthropic, and Bard. Our primary framework, EdgeChains, enables large-scale distributed LLM AI systems by integrating state-of-the-art algorithms and cloud scalability techniques.
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