Lead AI RAG Engineer for Ascendion
7 days ago
**Overview**
Ascendion is seeking an experienced AI Retrieval-Augmented Generation (RAG) engineer to join our team. As a key member, you will contribute to the development and implementation of innovative AI solutions.
**Estimated Salary:** $180,000 - $220,000 per annum.
**Job Description**
We are looking for a highly skilled AI engineer with expertise in Retrieval-Augmented Generation (RAG) models and strong Python programming skills. The ideal candidate will have a deep understanding of AI and machine learning principles, experience with RAG models, and a passion for developing innovative AI solutions.
Main Responsibilities:
• Prominent Skills Development: Develop and maintain clean, efficient, and maintainable code in Python, utilizing at least 5 years of experience in Python programming. • Ambitious AI Model Implementation: Collaborate on implementing and testing AI models, especially focusing on Retrieval-Augmented Generation (RAG) models, having at least 2 years of proven experience. • Innovative Prompt Engineering: Design, develop, and test prompts to achieve desired outcomes, requiring at least 2 years of proven experience in prompt engineering. • NLP Model Optimization: Optimize and fine-tune NLP models, such as BERT, for performance and scalability, including data preprocessing, feature engineering, and model evaluation: With strong background in machine learning frameworks and libraries (e.g., TensorFlow, PyTorch). • Exceptional Troubleshooting: Independently identify, debug, and resolve conflicts in RAG and mono repo service applications. • Comprehensive Documentation: Document AI models, processes, and workflows thoroughly. • Effective Team Collaboration: Work closely with cross-functional teams to integrate AI solutions into existing systems, demonstrating strong communication and teamwork abilities.
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