---
title: 'Staff AI Engineer, Payments Intelligence at Yuno'
canonical: 'https://feeny.ai/job/staff-ai-engineer-payments-intelligence-yuno-europe-sxdjp15hh9a9'
type: 'job'
last_seen: '2026-09-07'
---

# Staff AI Engineer, Payments Intelligence at Yuno

- **Company:** Yuno
- **Location:** Europe
- **Work type:** remote
- **Posted:** 2026-09-01
- **Last confirmed live:** 2026-09-07
- **Apply:** https://jobs.lever.co/yuno/73111f9b-95c9-46f6-a1eb-0e8f2c0196c9

## Job description

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.

## About The Role

Yuno is looking for a Staff AI Engineer to be the senior technical leader for Payments Intelligence — the unit building the AI agents and intelligence products that make payments smarter across the platform. You'll architect and build production AI-agent systems like AIDA and NOVA, shape how Yuno applies LLMs and agentic AI to real payment problems, and raise the technical bar for the engineers around you.

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

- 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

- AI Ops & Support — AI-driven automation that streamlines internal operations and customer support

- Client Intelligence — the AI and data products that surface insight and intelligence to Yuno's merchants

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.

## Skills You Need

## Minimum Qualifications

- 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)

- Evaluation and observability for AI — 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

## Preferred Qualifications

- Fine-tuning, RLHF, or model customization

- Vector databases (Pinecone, Weaviate, or FAISS) and embedding retrieval

- Building agent workflows with MCP servers or modern agent frameworks

- Conversational AI and speech (speech-to-text / text-to-speech) and multilingual systems

-

## Experience in the payments or fintech industry

## Nice to Have

- Running multi-tenant AI platforms or GPU/resource management at scale

- Data pipelines and orchestration (Airflow, Prefect) and warehouses like Databricks, Snowflake, or BigQuery

- Spanish proficiency

Tech Stack

- Languages — Python (AI/ML), Go and Kotlin (platform services)

- AI & LLMs — LLM APIs and open models, agent frameworks, MCP, RAG

- AI evaluation & observability — LangFuse, LangSmith, Braintrust, MLflow

- Data & retrieval — vector databases, feature stores

- Messaging — Apache Kafka, SQS

- Databases — PostgreSQL, Redis

- Infrastructure — AWS, Kubernetes, Docker, Terraform

- Observability — Datadog, OpenTelemetry

- CI/CD — GitHub Actions, ArgoCD

- Version Control — Git / GitHub

## What We Offer at Yuno

- 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

## About Yuno

## Company Overview
- **One-liner**: Yuno is an AI-native payment orchestration platform that connects merchants to over 1,000 payment methods globally through a single API, powered by intelligent agents for routing, fraud prevention, and revenue recovery.
- **Entity Type**: Private (Seed $10M & Series A $25M – total $35M)
- **Headquarters**: New York, United States (with regional HQ in Doha, Qatar)
- **Founded**: 2021
- **Founders**: Juan Pablo Ortega & Julián Núñez

## Core Business
- **Primary industry**: Payment orchestration / Fintech infrastructure.
- **Target customers**: B2B – global merchants and enterprises of all sizes (e.g., McDonald’s, Rappi, Uber, GoFundMe, Viva Aerobus, NetEase).
- **Mission**: Help businesses simplify payment management and unlock new revenue streams by leveraging deep industry knowledge, cutting‑edge technology, and AI.

## Products & Services
- **Yuno Payments Orchestration Platform** (SaaS/API): A single, no‑code integration that connects to 1,000+ payment methods, PSPs, anti‑fraud providers, and acquirers across 190+ countries and 180+ currencies.
- **AI‑Powered Smart Routing**: Real‑time routing agent that selects the optimal processor per transaction based on performance, cost, and geography – delivering up to 7% uplift in approval rates.
- **Payments Concierge**: AI monitoring agent that analyses payment stacks, surfaces issuer‑level rejection reasons, and recommends actions via Slack or WhatsApp.
- **Fraud Prevention Suite**: Tools including tokenization, 3D Secure, custom fraud rules, and one‑click integration with fraud detection providers.
- **Predictive Analytics**: Real‑time dashboard with AI‑driven anomaly detection and trend identification.
- **Payouts & Stablecoins**: Support for payouts and stablecoin transactions through the same unified API.

## Market Standing
- **Valuation**: Not publicly disclosed.
- **Key Metric**: Annual revenue estimated at $3.5 M (source: LinkedIn); the platform processes **1 B+ transactions yearly**.
- **Notable Investors**: Kaszek & Monashees (seed); Andreessen Horowitz, Tiger Global & DST Global Partners (Series A).
- **Growth Signals**:
  - Headcount of 246 employees (+57.6% YoY), operating across 32 countries.
  - Offices/teams in Colombia, Brazil, Singapore, Mexico, Argentina, and the UK.
  - Named one of the world’s Top FinTech Companies by CNBC, Statista, and CB Insights.
  - Expanding rapidly across APAC, EU, Middle East, and Africa.

## Competitive Advantages
- **Single API for the entire payment lifecycle** – pay‑ins, payouts, fraud, reconciliation, and stablecoins – greatly reducing integration overhead.
- **AI‑native agents** that autonomously route, retry, and recover transactions, continuously optimising approval rates and reducing costs.
- **No‑code provider switching** – merchants can enable or disable payment methods without development cycles, accelerating market entry.
- **Deep global coverage** – 1,000+ providers in 190+ countries with local compliance built in.

## Strategic Focus
- **Global expansion**: Deepening presence in APAC, EU, the Middle East, and Africa while maintaining strength in Latin America.
- **AI‑driven product innovation**: Continued investment in AI agents for payment optimisation, fraud prevention, and actionable intelligence.
- **Enterprise adoption**: Targeting large‑scale merchants with complex, multi‑market payment stacks, evidenced by partnerships with brands like McDonald’s and Uber.

## Why Work Here
- **Culture**: Described as dynamic, innovative, and collaborative – team members are “encouraged to keep learning, explore new tools like AI, and take ownership of projects.”
- **Work model**: **100% remote‑first** – employees work from over 15 nationalities across 32 countries.
- **Perks & growth**: Emphasis on wellness, accountability, and fast learning; heavy investment in AI tools and continuous education.
- **Engineering focus**: Active hiring for Senior Backend, AI, Security, Data Platform, and Site Reliability roles – strong technical challenge and ownership.
- **Transparency**: Open‑source‑style internal communication; plain‑language dashboards for engineers to see real‑time payment data.

## Sources
1. [y.uno – About](https://y.uno/en/about)
2. [y.uno – Careers](https://y.uno/en/careers)
3. [y.uno – Product](https://y.uno/en)
4. [Lever – Yuno Careers](https://jobs.lever.co/yuno)
5. [LinkedIn – Yuno Company Profile](https://co.linkedin.com/company/yunopay)

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