👋 About TextYessFor thousands of years, commerce was human. Merchants knew their customers, understood their needs, and built trust through real conversations. Then came the internet, and we traded humanity for scale. Shopping became efficient but soulless: endless product grids, generic descriptions, no one to guide you.TextYess is here to restore what was lost. We build AI agents that bring back the personal, conversational shopping experience, at infinite scale. Through WhatsApp and messaging apps, we help brands sell through tailored, real-time conversations that feel natural, helpful, and human.We work with brands like Ducati, Pittarosso, Piazza Italia, and Doppelgänger. We closed a €2.4M seed round and we're just getting started.🚀 The RoleYou'll be our second AI engineer, working alongside Luis (AI Lead) in a seven-person engineering team led by Valdo (CTO). The team is all internal, full-stack leaning, and ships weekly. We're remote-first with an office in Milan.TextYess runs AI agents on WhatsApp, onsite chat, and voice (with email launching next). Today, these agents are mostly reactive: they answer customer questions using a RAG pipeline over product catalogs, brand knowledge, and Q&A; pairs. The next step is making them genuinely autonomous: agents that take multi-step actions, reason over long conversations, proactively drive revenue, and work across channels with a shared intelligence layer.That's what you're here to build.Our agents have handled over 3 million unique customer conversations across 250+ active merchants, with 12 million+ messages sent. The data is there. The challenge now is making the intelligence match the scale.What you'll work on:→ Own and improve the RAG pipeline: chunking, re-ranking, context assembly, embeddings→ Build evaluation frameworks to measure agent performance systematically, not anecdotally→ Design and ship the multi-agent architecture for cross-channel orchestration→ Fine-tune models on our proprietary d