AI Engineer

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