Job Description
Focus: AI-driven scoring, evaluation, and learning systems
Responsibilities: 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 systems
Required 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
Responsibilities: 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 systems
Required 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
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