We're building something that doesn't exist yet in Latin America: a domain-specific large language model trained on a large Spanish-language corpus, deployed on proprietary on-premise hardware, solving a real problem for clients who are already waiting. We can't tell you exactly what it is yet. What we can tell you: → The corpus is real and large → The clients are real and paying → The hardware is ready → The team is small and the decisions matter → The person who joins now shapes the architecture This is a fully on-site role in Mérida, Yucatán. We want someone in the room — not because we don't trust remote work, but because the knowledge needs to live in the team, not in one person's laptop. ────────────────────────────── WHAT YOU'LL BUILD ────────────────────────────── → Large-scale Spanish text dataset pipeline: cleaning, deduplication, tokenization → Continual Pre-Training (CPT) on open-source base models (Llama/Qwen family) on dedicated GPU workstation — in our office → Supervise...