Tech Lead, LLM & Generative AI (Full Remote - Switzerland)

What You Will Do

1. 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. 2. 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. 3. 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. ### Who You Are

The Non-Negotiables:

• You have shipped AI at scale. You have 8+ years of engineering experience, with a significant portion dedicated to shipping ML/LLM features to millions of active users. - You are deeply technical. You are proficient in Python/PyTorch and comfortable with the modern LLM stack (vLLM, HuggingFace, fine-tuning pipelines, eval frameworks). - You are comfortable working with NSFW content and understand the technical rigor required to moderate it effectively without breaking the user experience. - You understand the physics of LLMs—how prompt conditioning, temperature, and sampling affect the "soul" of a chatbot. - You value velocity. You can distinguish between a "perfect" academic solution and a "shippable" production solution. - You don't rent code. You obsess over metrics, regressions, and the user experience long after the code has been merged. # What We Offer