Staff AI Engineer – Payments Intelligence

🔥 0 minutes ago

🌐 Spain, Netherlands, +6 more countries – Remote

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⏰ Full Time

🔴 Lead

🤖 AI Engineer

👻 Ghost score 17%

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Logo of Yuno

Yuno

11 - 50 employees

💳 Fintech

🏢 Enterprise

☁️ SaaS

Fintech • Enterprise • SaaS

Yuno is a company that provides payment orchestration and infrastructure solutions on a global scale. Their technology empowers businesses to integrate over 300 payment methods, boosting acceptance rates and enabling seamless scaling of payment operations across multiple regions. Yuno focuses on providing a simplified payment process with features like smart routing, unified payment insights, auto reconciliation, and custom checkout options. They emphasize security and fraud management, ensuring safe transactions. Yuno facilitates global payouts and subscription management, making them an ideal partner for businesses looking to optimize their payment systems and increase revenue.

📋 Description

• Own the architecture of Yuno's AI agents (AIDA, NOVA) and intelligence systems • Set the technical direction for agentic AI and raise the technical bar for the team • Design multi-step agents with tool use, orchestration, memory, and RAG for reliability and low latency at scale • Build multilingual customer-conversation agents across phone and WhatsApp • Define agent quality and safety evaluation, observability, and guardrails • Architect client-intelligence systems that turn payment data into actionable merchant insight • Build AI-driven automation for internal operations and customer support • Mentor engineers and partner with Product, Data Science, and Staff Engineers on cross-team AI work

🎯 Requirements

• +8 Years of Experience • Extensive software engineering experience, with a track record building and shipping production LLM or AI-agent systems • Deep expertise in agentic systems — multi-step agents, tool use, orchestration, memory, and retrieval-augmented generation (RAG) • Strong LLM application skills — prompt engineering, evaluation, and guardrails for reliable, safe outputs • Strong Python for AI/ML, plus solid backend engineering (Go and/or Kotlin) to productionize systems at scale • Model serving and LLM inference, with the cloud infrastructure to run AI workloads in production (AWS or similar) • Hands-on with tools like LangFuse, LangSmith, Braintrust, or MLflow, plus solid automated testing and CI/CD • Proven technical leadership — mentoring engineers, driving technical vision, and delivering complex, cross-team projects • English — advanced proficiency, written and spoken

🏖️ Benefits

• Competitive Compensation • Remote Work — you can work from everywhere • Home Office Bonus — a one-time allowance to set up your ideal home office • Work Equipment • Stock Options • Health Plan wherever you are • Flexible Days Off • Language, Professional, and Personal Growth courses

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