Location: Mumbai (On-site) | Internship Duration: 3 Months | Full-Time Opportunity: Interns who successfully complete the internship may be considered for a full-time role based on business requirements and overall performance. | Develop Machine Learning and Large Language Model (LLM)-based applications for real-world use cases. | Build and optimize Retrieval-Augmented Generation (RAG) pipelines for AI-powered solutions. | Design, develop, and enhance AI Agents to automate business workflows. | Perform data preprocessing, feature engineering, model training, evaluation, and optimization. | Develop Python-based APIs and production-ready AI applications. | Write clean, scalable, and maintainable Python code following best practices. | Research, experiment, and implement the latest AI technologies, frameworks, and tools. | Collaborate with cross-functional teams to deliver innovative AI solutions that create measurable business impact. | Strong programming skills in Python. | Good understanding of Machine Learning and Deep Learning fundamentals. | Knowledge of Large Language Models (LLMs) and Prompt Engineering. | Hands-on experience with Retrieval-Augmented Generation (RAG). | Familiarity with AI Agent development using Claude Code. | Experience with frameworks such as LangChain, LangGraph, MCP, or similar AI ecosystems. | Basic understanding of Vector Databases (FAISS, ChromaDB, Pinecone, etc.). | Familiarity with Git, Linux, SQL, and REST APIs. | Strong analytical thinking, debugging, and problem-solving skills. | Passion for AI, continuous learning, and building impactful products. | You are not comfortable working in a fast-paced, agile startup environment. | You prefer following instructions over solving real-world problems. | You are not interested in learning emerging AI technologies. | You are looking for a purely academic or research-only internship. | You are not willing to take ownership of your work and collaborate across teams. | B.E./B.Tech graduates (2023, 2024, 2025, or 2026 pass-outs) only. | Branches: Computer Science, Artificial Intelligence, AI & ML, Data Science, Information Technology, or equivalent disciplines. | Candidates currently pursuing B.E./B.Tech are not eligible. | Candidates with AI/ML projects, GitHub contributions, hackathons, internships, or open-source contributions will be preferred.