RAG (Retrieval-Augmented Generation) Systems Engineer

Job Description

Company Description Merzol Technologies is revolutionizing the way people learn by transforming video content into intelligent, personalized learning experiences using cutting-edge AI. Based on advanced features like transcription, video search, summarization, and mind mapping, Merzol empowers learners, educators, and enterprises to deeply engage with video content. From individuals to enterprises, the platform offers tailored solutions including APIs for LMS integration, public and private sharing for YouTubers, and advanced AI video analytics. Collaborating with academic institutions, EdTech startups, and corporate L&D teams, Merzol is shaping the future of AI-powered video-based learning. Role Description This is a hybrid internship role for a RAG Systems Engineer, based in Chennai with some flexibility for remote work. The RAG Systems Engineer will be responsible for supporting the architecture and deployment of Retrieval-Augmented Generation systems. Daily activities include designing, administrating, and troubleshooting systems, along with providing technical support and ensuring overall system reliability and performance. Qualifications Strong knowledge of RAG Systems Engineering and RAG Systems Design. Proficiency in Troubleshooting and providing System Administration support Experience in Technical Support and maintaining robust system operations Practical Knowledge of building scalable RAG (Retreval-Augmented Generation) Systems, AI Chatbots, and Video-based AI Systems. Hands-on experience with LangChain, Python, PHP, SQL, and AI-based Automation workflows. Bachelor's degree in Computer Science, Engineering, or a related field (or currently pursuing) Familiarity with FPDF, RAG tools, and backend system integration for AI-driven Applications.