AI/ML Intern

Role Overview

We are looking for a passionate and driven AI/ML Intern to join our team. This role is ideal for recent graduates who are eager to work on real-world AI applications, including LLM integrations, modern AI frameworks, and scalable backend systems. You will gain hands-on experience building intelligent systems with cutting-edge tools and contribute to production-level AI solutions.

Responsibilities

• Work on real-world AI/ML problems with a strong focus on problem-solving and analytical thinking.
• Build and integrate LLM-based applications.
• Implement Retrieval-Augmented Generation (RAG) pipelines.
• Work with LangChain, LangGraph, and other modern AI orchestration tools.
• Develop and integrate REST APIs for AI services.
• Collaborate on backend systems using Python frameworks such as FastAPI or Django.
• Understand and contribute to web architecture and system design.
• Work with structured and unstructured data.
• Implement and optimize embeddings and vector search.
• Use and manage vector databases.
• Experiment with transformer-based models.
• Write clean, modular, and reusable code using object-oriented programming principles.

Requirements

• Strong problem-solving and analytical skills.
• Hands-on practical experience with Python.
• Good understanding of object-oriented programming (OOP).
• Familiarity with modern AI tools and frameworks.
• Understanding of REST APIs and web services.
• Basic knowledge of web architecture.
• B.Tech, B.E., MCA, M.Sc., or a relevant Computer Science degree.

Nice to Have

• Basic to intermediate knowledge of JavaScript (ES6+) and/or TypeScript.
• Familiarity with React.js.
• Experience deploying ML/AI models.
• Exposure to cloud platforms such as AWS, GCP, or Azure.
• Knowledge of Docker or containerization.
• A GitHub portfolio showcasing relevant work.

Skills

• Python
• LangChain
• FastAPI
• Vector Databases
• LLMs

Benefits

• Hands-on experience with production-level AI systems.
• Exposure to cutting-edge AI tools and LLM ecosystems.
• Mentorship from experienced engineers.
• An opportunity for full-time conversion based on performance.