Namekart is hiring Full Stack Development Interns for a 6-month Hybrid Internship based in Noida. This opportunity is ideal for students and aspiring software engineers interested in Full Stack Development, Agentic AI, LLMs, AI automation, and cloud deployment.
Interns will work on real production AI applications involving multi-agent systems, Retrieval-Augmented Generation (RAG), prompt engineering, AI orchestration, and full-stack web development.
About Namekart
Founded in 2012, Namekart helps businesses and entrepreneurs secure premium domain names and protect their digital brands. The company is backed by professionals from prestigious institutions such as IIM Calcutta, IIM Bangalore, IIT Bombay, IIT Madras, IIT Kharagpur, BITS Pilani, SRCC Delhi, and St. Xavier’s Kolkata.
Namekart focuses on delivering innovative digital branding solutions while building cutting-edge AI-powered products.
Job Overview
| Details | Information |
|---|---|
| Company | Namekart |
| Position | Full Stack Development Intern |
| Job Type | Internship |
| Work Mode | Hybrid |
| Location | Noida |
| Duration | 6 Months |
| Stipend | ₹25,000 – ₹30,000 per month |
| Start Date | Immediate |
Roles & Responsibilities
As a Full Stack Development Intern, you will:
- Build production-grade Agentic AI systems.
- Develop multi-agent workflows and AI automation pipelines.
- Work with OpenAI and Anthropic Claude APIs.
- Implement LangChain and LangGraph-based AI workflows.
- Build Retrieval-Augmented Generation (RAG) pipelines.
- Design prompt engineering and memory/context management systems.
- Develop frontend dashboards and chat interfaces using React and Next.js.
- Build backend APIs using Node.js, FastAPI, NestJS, or Spring Boot.
- Deploy applications using Docker, Coolify, AWS, GCP, or Vercel.
- Integrate AI applications with WhatsApp, Slack, CRM platforms, and third-party APIs.
- Use AI-native development tools to improve productivity.
- Participate in debugging, testing, and software improvements.
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Required Skills
Candidates should have knowledge of:
- JavaScript
- TypeScript
- React
- Next.js
- Node.js
- Python
- Java
- FastAPI
- Spring Boot
- REST APIs
- Docker
- DevOps
- Database Management Systems (DBMS)
- LangChain
- LLMOps
- LLM Evaluation
Additional Skills (Preferred)
Having experience with the following will be an advantage:
- Pinecone
- Weaviate
- Vector Databases
- WebSockets
- Streaming Applications
- AI Agents
- Chatbots
- Automation Tools
- OpenAI APIs
- Claude APIs
Eligibility Criteria
| Criteria | Details |
|---|---|
| Internship Type | Part-Time / Hybrid |
| Duration | 6 Months |
| Start Date | Between 5 August 2026 and 9 September 2026 |
| Women Restarting Careers | Eligible to Apply |
| Required | Relevant skills and interest in Full Stack & AI Development |
Stipend
Selected interns will receive:
| Component | Amount |
|---|---|
| Monthly Stipend | ₹25,000 – ₹30,000 |
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Perks & Benefits
Interns will receive:
- Internship Certificate
- Letter of Recommendation
- Opportunity for Full-Time Job Offer based on performance
- Exposure to production AI systems
- Hands-on experience with AI agents and copilots
- Experience with modern AI-native development workflows
- Mentorship from experienced engineers
Why Join Namekart?
Joining Namekart provides opportunities to:
- Build production-ready AI applications.
- Gain hands-on experience with LLMs and Agentic AI.
- Learn modern AI orchestration frameworks like LangChain and LangGraph.
- Develop scalable full-stack applications.
- Work with cloud deployment, DevOps, and CI/CD pipelines.
- Enhance your portfolio by contributing to real-world AI products.
- Increase your chances of securing a full-time software engineering role.
How to Apply
Interested candidates should apply before 4 Sep’ 26
Before applying, make sure your resume includes:
- Full Stack development projects
- React or Next.js applications
- Backend APIs built with Node.js or FastAPI
- AI, LangChain, or chatbot projects
- GitHub profile
- Docker or cloud deployment experience
- Hackathon or open-source contributions (if any)
Company Rating & Reviews
Company Rating: Not publicly available across major review platforms for this internship role.
Employee Feedback Highlights:
Pros
- Exposure to modern AI technologies
- Opportunity to work on production systems
- Strong technical learning environment
- Good mentorship opportunities
Cons
- Startup environment with fast-paced development
- Requires continuous learning and adaptability
Disclaimer:
This information is collected from official/public sources for informational purposes only. Salary estimates are based on market research and may vary. We do not charge any fee for job updates and do not guarantee selection or recruitment. Candidates should verify details from the official source before applying.
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Disclaimer:
This information is collected from official/public sources for informational purposes only. Salary estimates are based on market research and may vary. We do not charge any fee for job updates and do not guarantee selection or recruitment. Candidates should verify details from the official source before applying.