I’m expanding a set of generative-AI initiatives and need a senior data scientist who is both native in Spanish and deeply comfortable building NLP solutions around large language models. My current stack revolves around LangChain and LangGraph, so hands-on experience orchestrating agents and crafting complex LLM pipelines with these libraries is essential. What I’m working on • Automating internal and customer-facing workflows through conversational agents and smart task runners. • Evaluating, fine-tuning, and deploying open-source and commercial models to production. What you’ll deliver 1. A functional LangChain / LangGraph prototype that showcases agent routing, tool invocation, and error handling in Spanish. 2. Clean, well-commented Python code plus a short README explaining setup, environment variables, and execution flow. 3. A brief knowledge-base on best practices for scaling the solution (vector stores, monitoring, guardrails). Ideal profile • Proven record shipping NLP automations with LLMs and agent frameworks. • Comfort integrating APIs, vector databases, and cloud functions. • Fluent/native in Spanish If you’re ready to jump in, let’s talk specifics and arrange access to the repo and datasets.