AI Engineer Internship at Bridge-it  Key Responsibilities: • Use Generative AI models for real-world applications. • Identify and create datasets to build a domain specific knowledge base • Work on Prompt Engineering and create advanced Retrieval-Augmented Generation (RAG) systems. • Build and optimize scalable REST APIs using Python. • Utilize frameworks like LangGraph for complex AI workflows. • Collaborate on implementing knowledge graphs and Agentic frameworks such as LangGraph. • Contribute to backend development using Django or FastAPI (optional but preferred). What We're Looking For: • Required Skills: • Strong foundation in Data Science and Generative AI concepts and technologies. • Knowledge in data crawling / scraping, cleaning and processing to build a dataset • Experience with Prompt Engineering, LangGraph, and Python. • Knowledge of RAG (Retrieval-Augmented Generation) systems. • Hands-on experience building and consuming REST APIs. • Good foundation of Relational database concepts and SQL queries. • Nice to Have: • Solid understanding of classic Machine Learning techniques. • Experience with Agentic AI, context engineering, Agentic memory management. • Familiarity of knowledge graphs. • Proficiency in Django or FastAPI for backend development. • Knowledge on search (ElasticSearch) and recommendation systems • Education Qualification: • Current student or recent graduate in Software Engineering, Data Science, or related disciplines. What You'll Gain: • Work on an impactful project with real-world applications. • Learn and apply cutting-edge Generative AI and software engineering techniques. • Collaborate with a dynamic team of innovators and mentors. • Enhance your portfolio with practical experience in emerging technologies.