We are seeking an AI Agent Research Intern to help design intelligent workflows for patent drafting and innovation analysis. You will research the multi-agent systems that understand invention disclosures, perform prior-art search, extract technical features, and generate structured patent drafts. Responsibilities: • Design and implement evaluation frameworks to measure the performance and quality of agents, prompts, tools, and pipeline stages. • Break down complex patent drafting and analysis workflows into modular, agent-based steps. • Apply NLP, machine learning, and knowledge-graph techniques to enhance drafting accuracy, coherence, and automation. • Collaborate with cross-functional teams to integrate research findings into production-level AI patent drafting workflows. Requirements: • Proficient in English for reading technical papers, • Fast learner, self-driven, and strong problem-solving skills, able to research, experiment, and make progress in fast-moving projects. • Proficiency in Python, ability to quickly prototype and test ideas. • Familiarity with large language models (LLMs) or multi-agent frameworks. Preferred: • Background in NLP, machine learning, or algorithm engineering.