MINIMUM QUALIFICATIONS: * Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience. * 3 years of experience in Python and relevant machine learning packages (e.g., Keras, PyTorch, HF Transformers). * Experience in applied AI, with a focus on building systems around pretrained models (e.g., prompt engineering, fine-tuning, Retrieval-augmented generation (RAG), orchestrating model interactions with external tools to deliver solutions). * Experience architecting, deploying, or managing solutions on a Cloud Platform (e.g., Google Cloud Platform). PREFERRED QUALIFICATIONS: * Master’s degree or PhD in AI, Computer Science, or a related technical field. * Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, or Google’s Agent Development Kit (ADK)) and patterns like ReAct, self-reflection, and hierarchical delegation. * Knowledge of (Large Language Model) LLM-native metrics (e.g., tokens/sec, cost-per-request) and ...