Job description for AI Engineer at Elice
✨What makes Elice AI Engineer special?
You'll become a core developer who directly designs and implements AI Agents that transform the paradigm of education. You'll experience the entire AI development lifecycle from prototype stage to actual operational systems, building innovative AI algorithms that automatically generate hands-on exercises, projects, and quizzes. Through advancing RAG (Retrieval-Augmented Generation) frameworks, you'll enhance AI's contextual understanding capabilities and pursue the challenging goal of achieving TRL 9 level technology readiness. Seize the opportunity to gain practical experience with cutting-edge LLM technology and conversational systems while growing as an AI expert in the global EdTech field!
🔍 Key Responsibilities
- AI Agent System Development
- Lead the entire development process from EdTech AI Agent prototype to actual operational system
- Design, implement, and optimize Core AI Agentic System
- Validate AI systems in real operational environments through collaboration with pilot institutions
- Educational Content Generation AI Development
- Build and advance AI algorithms for automatic generation of AI exercises, projects, and quizzes
- Fine-tune AI models optimized for educational contexts and improve performance
- Develop educational AI solutions utilizing large language models and code datasets
- RAG System Enhancement
- Improve RAG Framework performance and enhance AI Model contextual relevance within the system
- Identify latest AI technology trends through research papers and apply them to practical work
- Improve AI system efficiency through data analysis and processing optimization
✅ Requirements
- Must reside in Singapore
- Proficiency in AI/ML model development and fine-tuning
- Experience implementing LLM and RAG systems
- Bachelor's degree or higher in AI and machine learning fields, or equivalent experience
- Knowledge of data analysis and processing
- Experience with large language models, conversational systems, and code datasets
- Research paper reading comprehension ability
- Ability to enhance work efficiency and optimize performance using AI tools
⭐ Preferred Qualifications
- Experience with AI projects in EdTech or educational technology fields
- Experience deploying AI models in cloud environments
