Staff AI Engineer, Payments Intelligence

Remote · Full Time · Individual Contributor · +8 Years of Experience

Staff AI Engineer, Payments Intelligence

Who We Are

Yuno is the AI-native operating system of global commerce, powering the financial infrastructure of enterprise merchants, banks, and wallets. Through a single API, Yuno connects them to pay-ins, payouts, fraud prevention, KYC/KYB, and stablecoins globally, so they can operate everywhere. Agnostic by design and connected to 1,000+ payment methods and 460+ integrations in 190+ countries, Yuno optimizes acceptance rates, reduces costs, and strengthens security through specialized AI agents that learn from every transaction. Global brands including McDonald's, NetEase Games, GoFundMe, and Rappi run their payments on Yuno.

How AI Shows Up in This Role

• 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
• 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

Your Contribution Will Be

• 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
• 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
• Conversational and multilingual experiences — build agents that hold real, dynamic customer conversations across channels (phone, WhatsApp) and 70+ languages, adapting to context and intent
• 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
• Intelligence and data products — architect the client-intelligence systems that turn payment data into actionable insight for merchants
• AI Ops automation — build the AI-driven automation that streamlines internal operations and support
• 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

What Success Looks Like

Within your first 6–12 months, you've led the architecture of at least one core agent or intelligence capability, shipped agentic systems to production with real evaluation and guardrails behind them, and become the technical voice Yuno trusts on how to build AI agents responsibly at scale.