This is a hands-on AI leadership role at the frontier. You'll design agents that hold real conversations with customers, recover revenue, automate operations, and surface intelligence to merchants — all in a production, multi-market, compliance-sensitive environment. Your impact comes as much from setting the technical direction for agentic AI as from the systems you build.

What This Unit Owns

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• Yuno Agents (AIDA & NOVA) — AIDA, the agent that retrieves payment data and answers technical questions for support and operations teams; and NOVA, the agents that recover revenue by turning failed payments into intelligent, multilingual customer conversations across channels
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• AI Ops & Support — AI-driven automation that streamlines internal operations and customer support
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• Client Intelligence — the AI and data products that surface insight and intelligence to Yuno's merchants
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How AI Shows Up in This Role

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• You're not adding AI to a product — you're building the AI that is the product: the agents, LLM pipelines, and intelligence systems at the core of Payments Intelligence
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• AI is our default execution layer: you're expected to use AI-assisted tooling fluently in your own work, and to define how the unit designs, evaluates, and ships agentic systems responsibly
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Your Contribution Will Be

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• Agent architecture and technical leadership — own the architecture of Yuno's AI agents (AIDA, NOVA) and intelligence systems; set the technical direction for agentic AI and raise the bar for the team
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• Production LLM and agentic systems — design multi-step agents with tool use, orchestration, memory, and retrieval-augmented generation (RAG), engineered for reliability and low latency at scale
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• Conversational and multilingual experiences — build agents that hold real, dynamic customer conversations across channels (phone, WhatsApp) and 70+ languages, adapting to context and intent
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• Evaluation, safety, and guardrails — define how the unit measures agent quality and safety, with rigorous evaluation, observability, and guardrails so agents behave reliably in a compliance-sensitive, multi-market environment
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• Intelligence and data products — architect the client-intelligence systems that turn payment data into actionable insight for merchants
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• AI Ops automation — build the AI-driven automation that streamlines internal operations and support
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• Mentorship and cross-functional collaboration — mentor engineers and partner with Product, Data Science, and Staff Engineers across domains to ship complex, cross-team AI work
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