07 set - Italia
TextYess
We'rethe AI-first CRM that turns conversations into revenue. On-site, WhatsApp, email, voice: our AI Agents sell, support, and retain customers for the best B2C brands out there, autonomously.
We believe the future of commerce is warmer, more human than ever - just at a scale no human team could pull off alone.
We've raised €3M+ and work with brands like Ducati, Pittarosso, MC2 Saint Barth, and Doppelgänger. We're a lean, fast, Italian-born scale-up now expanding our story internationally and this role is a big part of writing it.
The role
Join our AI team to build the agentic runtime for proactive agents: context building, tool/retrieval orchestration, scoring, and guardrails. You’ll own production components from day one and work directly on the “signal vs. noise” call.
What you'll actually be doing
- Grounding. The agent sometimes says a product is unavailable when it's in stock. Fixing that is a retrieval problem, a prompt problem, and an eval problem at the same time.
- Exact match vs. semantic. Semantic search is good at "warm jacket for winter" and bad at a SKU, a size,
or a specific variant. We need both, in one ranking.
- Multilingual quality. Our customers write in Italian, English, and more. An agent that answers in the wrong language is worse than one that says nothing.
- Latency and cost. A customer is waiting on their phone. You'll profile requests, test prompt and model changes, and ship improvements you can point at on a graph.
- Evals that catch problems before customers do. Every conversation has a Langfuse trace, and we have a golden-dataset harness. Making it actually predict production quality is open work.
- Deciding what's worth saying. Ranking, scoring, and suppressing proactive insights so the agent interrupts a customer only when it has earned it.
What you bring
- 2+ years shipping software professionally , including at least one LLM feature real users touched — a chatbot, a RAG system, an agent. Not a weekend project.
- You know how RAG a
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