Junior Fullstack AI Engineer (Fresher /Internship/ Entry-Level)

We are seeking a disciplined and analytical individual to join our data team. This 60-day "Internship-to-Conversion" program offers a clear path to a full-time role based on performance. Candidates who demonstrate proficiency and align with our culture will transition to a permanent Fullstack Junior AI Engineer position.

Experience

0 - 1 year (fresh graduates and candidates with or without internship experience are welcome to apply)

Location:

Noida Sector 2, 5 days a week in the office

Internship Stipend Per Month: Rs 15,000

Salary Per Month after Full Conversion: Rs. 30,000

Role Overview

• You will be joining a quick-adaptive full-stack AI engineering team focused on building real-world AI-powered products and solutions
• This role is designed for fresh engineers who are passionate about AI and want to grow fast by doing, not just watching
• You will work closely with senior engineers who will guide and mentor you through every step of your early career
• Your core mission is to learn, experiment, and contribute to AI software development involving LLMs, agents, RAG vector systems and more
• You will get early exposure to cutting-edge tools like LangChain, LangGraph, Claude Code, and modern vector databases
• This is a high-growth role - engineers who demonstrate initiative and curiosity move up quickly
• If you're someone who stays up reading about the latest LLM releases or builds side projects just for fun, this is the place for you

• Learn and apply AI/ML concepts under the guidance of senior engineers
• Learn Python programming and commonly used Python frameworks like FastAPI and Flask
• Learn and assist in Frontend development with JavaScript / TypeScript/ React or Next.js/ HTML5 + CSS3/ REST API integration
• Learn and assist in backend development with Node.js / FastAPI/ API development/ Database fundamentals
• Help with data collection, cleaning, and preprocessing tasks
• Run experiments with pre-built models and document results
• Explore and implement LangChain and LangGraph to build LLM-powered workflows
• Use Git and GitHub for version control, branching, and collaborative development
• Learn and work with RAG (Retrieval-Augmented Generation) architectures
• Understand and work with vector databases, embeddings, and semantic search
• Assist in building and testing AI agents under senior engineer guidance
• Explore and test LLM APIs and prompt engineering techniques
• Practice vibe coding using AI-assisted development tools like Claude Code, GitHub Copilot, and Cursor to accelerate development
• Write basic scripts and utility code to support AI workflows
• Keep up with the latest AI tools and share learnings with the team

What We're Looking For:

• Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent experience)
• Basic proficiency in Python programming
• Genuine interest and curiosity in AI, LLMs, and generative AI technologies
• Familiarity with Git and GitHub
• Ability to learn quickly and work in a fast-paced, hands-on environment
• Strong problem-solving mindset and willingness to experiment

• Basic Python programming (data structures, functions, OOP concepts)
• Familiarity with Git and GitHub for version control
• Understanding of core AI/ML concepts (supervised learning, neural networks, etc.)
• Exposure to LLM APIs (OpenAI, Anthropic Claude, Gemini, etc.)
• Basic understanding of LangChain or LangGraph
• Awareness of RAG pipelines, vector databases (e.g., Pinecone, ChromaDB, Weaviate), and embeddings
• Familiarity with AI agent concepts and agentic workflows
• Comfort using AI-assisted coding tools like Claude Code, GitHub Copilot, or Cursor

• Hands-on experience with LangChain, LangGraph, or similar agentic frameworks
• Prior internship or project experience involving AI/ML or LLM-based applications
• Familiarity with vector databases like Pinecone, ChromaDB, or Weaviate
• Exposure to cloud platforms like AWS, GCP, or Azure
• Experience building or experimenting with AI agents or RAG pipelines

• Proactive, dependable, and eager to learn
• Strong team player who communicates openly
• Open to feedback and continuous improvement
• Curious mindset - enjoys exploring new AI tools and techniques
• Good written and verbal communication skills in English
• Always keen to proactively learn new technologies, tools, and concepts without being prompted
• Self-motivated and self-driven - takes initiative and owns their work independently
• Ready and willing to take up responsibilities and tasks assigned by seniors with a positive attitude