- Implement and fine-tune the AI chatbot (likely LLM-based).
- Context engineering.
- Design and build vehicle forecasting models and algorithms.
- Create effective prompt and orchestration strategies for AWS Bedrock tool/function calling (Agents, Action Groups, and model invocation).
- Optimize model performance, accuracy, and response quality.
- Handle context management and conversation flow.
Essential Skills :
- Deep knowledge of working principles behind agents and experience in building Agents and/or Skills.
- LLM integration and advanced prompt engineering.
- Time-series forecasting or predictive modeling for automotive/fleet scenarios.
- Python ML stack (scikit-learn, pandas, potentially PyTorch/TensorFlow).
- Understanding of RAG (Retrieval-Augmented Generation) patterns if contextual knowledge is needed.
- Experience with model evaluation and A/B testing.