Job Description
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.
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
Role & Responsibilities:
- 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
Must-Have Requirements:
- 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
Must-Have Technical Skills:
- 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
Nice-to-Have Technical Skills:
- 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
Soft Skills We Value:
- 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
