For thousands of years, commerce was human.
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Shopping became efficient but soulless: endless product grids, generic descriptions, no one to guide you. We build AI agents that bring back the personal, conversational shopping experience, at infinite scale.
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Through
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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. You'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.
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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. The data is there. The challenge now is making the intelligence match the scale. Design and ship the multi-agent architecture for cross-channel orchestration → You've shipped AI systems that real users depend on. You know that evals matter more than vibes, that RAG breaks in production in ways it never does in demos, and that the gap between a good agent and a great one is mostly invisible until you measure it.
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Strong RAG experience: you know when it works, when it doesn't, and why → Python skills strong enough to build from scratch → Rigorous about evaluation: you don't ship AI without measuring it → Cloud infrastructure experience for AI/ML at scale → Vector databases and semantic search at scale We're a seed-stage startup, we pay competitively and we're flexible for the right person. If you're senior and you know it, talk to us. If TextYess becomes something big, you share in it. 1. 30-min Intro Call We'd love to chat.