AI Engineer

Data storage and retrieval: Take unstructured data, index and/or structure it, and enable retrieval
LLM Evaluation: RAG LLM teams will need to evaluate the LLM at the outset to determine which LLM to use and later as they build complex RAG architectures
Test and evaluate ingredients
Measure response generation time, component latency, errors, and costs.
Artificial Intelligent technical leader is responsible for providing technical solution/Technical architecture for AI (deep learning) related projects.
Communicate and collaborate with internal and external customers as needed to make sure high quality of deliverable including managing requirements, changes, plan, schedule, resource; presenting and interfacing with vendors, customers.
Building, training, coaching, motivating development team.
Spearhead cutting-edge research projects in the field of Artificial Intelligence Research (AIR), focusing on Natural Language Processing (NLP) and Large Language Models (LLMs).
Communicating and presenting research findings and insights to internal and external stakeholders