The Crownstack Fullstack AI Engineer Internship is an exciting opportunity for fresh graduates and aspiring AI engineers who want hands-on experience in modern Artificial Intelligence technologies. Crownstack is offering a 60-day Internship-to-Conversion program for candidates passionate about AI, LLMs, full-stack development, and generative AI tools.
This internship is based in Noida Sector 2 with a 5-day in-office work model. Selected candidates will receive a monthly stipend of ₹15,000 during the internship period, and candidates who perform well may receive a full-time Fullstack Junior AI Engineer role with a salary of ₹30,000 per month.
For candidates searching for AI Engineer Internship India or Fullstack AI Internship Noida, this opportunity provides exposure to cutting-edge AI technologies such as LangChain, LangGraph, RAG systems, vector databases, AI agents, and LLM APIs.
About Crownstack 🏢
Crownstack is a digital transformation and engineering company primarily serving clients in the US market. The company focuses on user experience, clean coding practices, and innovative digital business solutions.
With a team of passionate engineers and designers, Crownstack has built a people-centric work culture that encourages collaboration, innovation, and continuous learning. The company specializes in modern digital technologies and AI-powered solutions, making it a strong workplace for aspiring software and AI engineers.
Crownstack is known for its employee-friendly environment, growth opportunities, and engineering-driven culture.
Internship Overview 📋
| Details | Information |
|---|---|
| Company | Crownstack |
| Role | Fullstack AI Engineer Intern |
| Experience | 0 – 1 Year |
| Location | Noida Sector 2 |
| Work Mode | 5 Days In-Office |
| Internship Duration | 60 Days |
| Internship Stipend | ₹15,000/month |
| Full-Time Salary After Conversion | ₹30,000/month |
Role Overview 💻
The Crownstack Fullstack AI Engineer Internship is designed for candidates who are curious about Artificial Intelligence and eager to build practical AI-powered applications.
Interns will work with senior engineers and gain exposure to real-world AI software development involving:
- Large Language Models (LLMs)
- Retrieval-Augmented Generation (RAG)
- AI agents
- Vector databases
- Semantic search systems
- AI-assisted development tools
This role offers fast learning opportunities for candidates passionate about modern AI innovations.
Salary and Career Growth 💰
The internship offers a stipend of ₹15,000 per month for 60 days.
Candidates who successfully complete the program and perform well may receive:
| Role | Salary |
|---|---|
| Fullstack Junior AI Engineer | ₹30,000/month |
Help a friend land their next role. Share now!
Key Responsibilities 🔥
Interns selected for this Generative AI Internship 2026 will work on multiple AI and full-stack development tasks.
AI & Machine Learning Responsibilities
- Learn and apply AI/ML concepts
- Explore LLM-powered workflows using LangChain and LangGraph
- Work with RAG architectures and semantic search systems
- Experiment with vector databases and embeddings
- Test AI agents and prompt engineering techniques
- Run experiments with pre-built AI models
Full-Stack Development Responsibilities
- Learn Python frameworks like FastAPI and Flask
- Assist in frontend development using:
- JavaScript
- TypeScript
- React
- Next.js
- HTML5
- CSS3
Backend Development Responsibilities
- Work with Node.js and API development
- Understand database fundamentals
- Write utility scripts for AI workflows
- Use Git and GitHub for collaborative development
Interns will also learn AI-assisted coding using tools like GitHub Copilot, Cursor, and Claude Code.
Skills Required 🧠
Must-Have Technical Skills
Candidates applying for the Python AI Internship should have:
- Basic Python programming knowledge
- Understanding of OOP concepts
- Familiarity with Git and GitHub
- Basic AI/ML understanding
- Knowledge of LLM APIs like:
- OpenAI
- Gemini
- Claude
AI Skills Preferred
- LangChain
- LangGraph
- Vector databases
- RAG pipelines
- AI agents
- Embeddings and semantic search
Nice-to-Have Skills
- AWS, GCP, or Azure exposure
- AI/ML project experience
- AI workflow automation
- Frontend or backend development experience
Educational Qualification 🎓
Candidates should have:
- Bachelor’s degree in:
- Computer Science
- Engineering
- Related technical fields
Fresh graduates and candidates with or without internship experience are eligible to apply.
Soft Skills Crownstack Values 🌟
Apart from technical skills, Crownstack values candidates who are:
- Self-motivated
- Curious about AI technologies
- Good communicators
- Team-oriented
- Open to feedback
- Quick learners
- Willing to take initiative
Candidates passionate about learning new AI tools and experimenting with emerging technologies will fit well in this role.
Follow us on 
LinkedIn for the latest updates
Follow us on 
Threads for the latest updates
Subscribe ▶️ YouTube Channel for Latest Updates
What You Will Learn During the Internship 📚
One of the biggest advantages of joining the Crownstack Careers internship program is the practical exposure to advanced AI engineering concepts.
Interns Will Learn:
- AI software development workflows
- Prompt engineering
- AI agent development
- Vector database integration
- RAG pipeline implementation
- API integrations
- Full-stack development practices
- AI-assisted coding workflows
This learning experience can significantly boost career opportunities in AI engineering and software development.
How to Apply 📝
Interested candidates should prepare an updated resume highlighting:
- Python programming skills
- AI/ML or LLM-based projects
- Knowledge of LangChain, RAG, or vector databases
- GitHub profile or portfolio projects
- Frontend or backend development experience
- Familiarity with AI tools like GPT, Gemini, Claude, or Copilot
Before applying, ensure your resume clearly mentions your technical skills, AI experimentation projects, and problem-solving abilities. Candidates with hands-on AI projects or strong curiosity for generative AI technologies are more likely to get shortlisted.
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.
Share the opportunity