Focus:AI-driven scoring, evaluation, and learning systemsResponsibilities: Design and implement Retrieval-Augmented Generation (RAG) pipelines for assessment evaluation and feedback Explore and apply Reinforcement Learning (RL) techniques to improve scoring, guidance, or adaptive assessments Work with multimodal data (text, structured outputs, interaction logs, etc.) Collaborate with product and engineering teams to productionize AI systemsRequired Background: Strong experience with applied AI/ML systems Hands-on experience with RAG architectures and LLM-based pipelines Familiarity with RL concepts and practical implementations Ability to deploy and maintain AI systems in production environments