Ship Code & Lead from the Front:
- Act as a Player/Coach: Architect the system and mentor the team, but spend significant time hands-on in the codebase (Python/PyTorch).
- Own the core chat loop: Optimize context windows, memory/RAG retrieval, and inference latency to ensure a seamless, real-time experience.
- Mentor and guide other engineers, promoting best practices.
Own the Model Lifecycle:
- Drive our strategy for SFT (Supervised Fine-Tuning) and RLHF/DPO (Preference Optimization). You decide when to prompt, when to fine-tune, and when to architect a new RAG pipeline.
- Manage the 'Data Engine': oversee the sourcing, labeling, and cleaning of diverse datasets to improve model steerability and multicultural performance.
- Implement robust evaluation frameworks to measure the impact of changes and identify areas for improvement.
Architect High-Precision Moderation:
- Build the immune system of the platform. You will design and train custom classifiers to detect and filter non-consensual or illegal content within an explicit environment.
- Move beyond binary 'safe/unsafe' flags to create nuanced, context-aware moderation systems.
- Work closely with legal counsel to ensure compliance.