CTO

Pulppo is building Shopify for the real estate brokerages in Latin America. We provide them with performance analytics software, automatic online property listings, a valuation tool and a CRM. We will charge 20% of the 166 billions dollars in annual commissions they generate. From our integrated tool we automate non-value added activities, and give visibility and transparency to agents (CRM) and customers (buyer collaboration, seller dashboard). By integrating the entire process, we empower agents to deliver an improved customer journey and more efficient process. 🧠 About the Project We’re Re building a AI-first product from scratch. The idea is validated, the use case is sharp, and the capital is secured. Now, we’re hiring a single person to own the entire technical side — someone who loves building solo, fast, and end-to-end. This is not a management role. You won’t be overseeing teams or writing specs for others. You’ll build the entire product stack yourself, using a mix of code and automation tools to move fast and validate quickly. 🎯 The Role You’ll be the only technical person for the first stage of the company. Your mission is to take the founder’s vision and build a real product — fast. You’ll use your skills across software engineering, AI implementation, and clever automation to ship the MVP and iterate quickly with real users. We’re looking for a builder who doesn’t wait on teams. You’ll use whatever tool gets the job done — whether that’s Python, Node.js, Make, Zapier, n8n, or frontend layers like Lovable, Softr, or a simple custom UI. ⚒️ Responsibilities Design and build the entire product — frontend, backend, AI, and workflow logic Implement AI pipelines using tools like OpenAI, Anthropic, LangChain, Pinecone, etc. Connect services and data using Make.com, n8n, or Zapier to move quickly Use low-code frontend layers like Lovable, Softr, or build simple custom UIs Own deployment, hosting, and technical infrastructure Iterate constantly: work with the CEO to launch fast, test with users, and refine Set the technical foundation for future scaling, but focus first on speed and function Design and build the entire product — frontend, backend, AI, and workflow logic Implement AI pipelines using tools like OpenAI, Anthropic, LangChain, Pinecone, etc. Connect services and data using Make.com, n8n, or Zapier to move quickly Use low-code frontend layers like Lovable, Softr, or build simple custom UIs Own deployment, hosting, and technical infrastructure Iterate constantly: work with the CEO to launch fast, test with users, and refine Set the technical foundation for future scaling, but focus first on speed and function ✅ Must-Have Qualifications Proven experience building products end-to-end, solo Experience implementing AI systems in production — LLMs, embeddings, retrieval, agents Strong skills in Python and JavaScript/TypeScript Experience using automation tools like Make.com, Zapier, or n8n to connect systems and speed up development Comfortable using or integrating low-code UI tools (Lovable, Softr, Retool, or others) Ability to prioritize speed and functionality over perfection Deep product intuition: you know what matters to users and what can wait Fluent in English (for technical docs, APIs, and team communication) MUST BE in the Americas or Europe. Proven experience building products end-to-end, solo Experience implementing AI systems in production — LLMs, embeddings, retrieval, agents Strong skills in Python and JavaScript/TypeScript Experience using automation tools like Make.com, Zapier, or n8n to connect systems and speed up development Comfortable using or integrating low-code UI tools (Lovable, Softr, Retool, or others) Ability to prioritize speed and functionality over perfection Deep product intuition: you know what matters to users and what can wait Fluent in English (for technical docs, APIs, and team communication) MUST BE in the Americas or Europe. 💎 Bonus Points Previously worked as a founding engineer or solo technical builder Built or launched AI agents, RAG systems, or complex workflows Familiar with vector databases (Pinecone, Qdrant, Weaviate) and LangChain Experience in real estate tech, marketplaces, or SaaS is a plus but not required Open-source contributions or indie projects launched alone Previously worked as a founding engineer or solo technical builder Built or launched AI agents, RAG systems, or complex workflows Familiar with vector databases (Pinecone, Qdrant, Weaviate) and LangChain Experience in real estate tech, marketplaces, or SaaS is a plus but not required Open-source contributions or indie projects launched alone 🎁 What We Offer Total ownership of the product and tech stack — you are the builder Significant equity and full technical co-founder-style role Validated idea and market, capital secured, and customers ready Work directly with an experienced founder and YC alumni A blank canvas to build something massive, fast, and global — your way Total ownership of the product and tech stack — you are the builder Significant equity and full technical co-founder-style role Validated idea and market, capital secured, and customers ready Work directly with an experienced founder and YC alumni A blank canvas to build something massive, fast, and global — your way Our infrastructure is based on a microservice architecture. Each of the microservices use modern web technologies such as typescript, react, next.js and tailwind for the frontend and typescript, express.js and node.js for the backend. Even some of our microservices run in python (mostly for data-driven tasks or ML models). For databases we prefer using mongoDB, but we are open to the idea of using postgresql or other relational databases if they better solve the problem. We are also developing some machine learning and computer vision applications using keras, tensorflow and opencv (even some tensorflow.js for frontend apps). On the infrastructure side of things, all our microservices are dockerized and running on kubernetes (some on lambda functions/serverless).