Posted on: 08/10/2026
Primary Responsibilities :
- 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
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