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We are building next-generation AI-native learning systems that go beyond static models—systems that reason, adapt, and act. As an Agentic AI Research Intern, you will work at the intersection of LLMs, system design, and product, building intelligent agents capable of multi-step reasoning, decision-making, and personalized learning.
Selected Intern's Day-to-day Responsibilities Include
Design and implement Agentic AI workflows (multi-step reasoning, tool usage, memory handling)
Build and experiment with LLM-powered applications (tutoring agents)
Develop adaptive learning flows and architect end-to-end AI pipelines (personalization, feedback loops, reinforcement logic)
Read and apply insights from latest AI/LLM research and frameworks
Integrate AI systems with databases and user interaction pipelines
Work on prompt engineering, evaluation frameworks, and response optimization
Deploy AI applications using cloud platforms and APIs
Improve system performance across latency, accuracy, and user engagement
Prototype and test innovative EdTech use cases using AI agents
About Company: As an AI/ML researcher, I am passionate about solving problems through artificial intelligence and machine learning. Our work addresses a wide array of issues, from natural language processing to computer vision.
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