Research Intern

Role Overview: As a Research Intern at the technology-driven startup, you will have the exciting opportunity to explore the world of Generative AI agents, large language models (LLMs), and autonomous multi-agent systems. Your primary responsibilities will include mapping the landscape, evaluating technical capabilities, researching tools, and contributing to prototype development. Key Responsibilities: - Conduct comprehensive research on Generative AI agents, LLM-based agents, and autonomous agent frameworks. - Analyze recent papers, blogs, GitHub projects, and industry updates related to AI agents. - Benchmark and compare agent frameworks and toolkits for performance, capabilities, and real-world applications. - Support the team in prototyping basic agent workflows and simulations. - Prepare detailed reports, documentation, and presentation materials for internal knowledge sharing. - Identify gaps, opportunities, and potential use cases for AI agents in specific industries (e.g., e-commerce, finance, customer support). - Assist in writing proof-of-concept code (Python, JS, or any relevant language) to test different agent architectures. Qualifications Required: - Pursuing a degree in Computer Science, AI/ML, Data Science, or a related field. - Strong interest in AI, LLMs, and multi-agent systems. - Knowledge of Generative AI concepts, OpenAI APIs, LangChain, LlamaIndex, or similar tools (Bonus if hands-on). - Experience with Python and familiarity with prompt engineering or fine-tuning models is a plus. - Ability to read and summarize research papers effectively. - Excellent analytical, writing, and presentation skills. - A curious mindset, willing to experiment, learn, and share knowledge.,