# Tech Lead, LLM Platform
We are seeking a Tech Lead to lead our LLM team (currently 3 engineers) and own the architecture, training, and deployment of models powering our AI companionship platform. You will be a player/coach—architecting systems while writing production code, defining alignment strategy, and shipping features used by millions of users globally.
## What You Will Do
- Ship Code & Lead from the Front
- Act as Player/Coach: architect the system and mentor the team with significant hands-on time in the codebase
- Own the core chat loop: optimize context windows, memory/RAG retrieval, and inference latency for real-time experience
- Own the Model Lifecycle
- Drive strategy for SFT (Supervised Fine-Tuning) and RLHF/DPO (Preference Optimization)
- Manage the Data Engine: oversee sourcing, labeling, and cleaning of diverse datasets for model steerability and multicultural performance
- Architect High-Precision Moderation
- Build custom classifiers to detect and filter non-consensual or illegal content
- Create nuanced, context-aware moderation systems beyond binary safe/unsafe flags
## Who You Are
- 8+ years of engineering experience with significant time shipping ML/LLM features to millions of active users
- Deeply technical: proficient in Python/PyTorch and comfortable with the modern LLM stack (vLLM, HuggingFace, fine-tuning pipelines, eval frameworks)
- Comfortable working with NSFW content and understand the technical rigor required to moderate it effectively
- Strong intuition for alignment: understand how prompt conditioning, temperature, and sampling affect chatbot behavior
- Doer mindset: value velocity and distinguish between perfect academic solutions and shippable production solutions
- Owner mentality: obsess over metrics, regressions, and user experience
## Team & Environment
- Scale: 80M+ daily tokens
- Team: You + 3 AI Engineers (reporting to you) + DevOps/Web collaborations
- Culture: High autonomy, low bureaucracy, direct line to the CTO
- 100% remote, fully distributed team