Staff AI Engineer, Payments Intelligence — Remote

Yuno; Almada; À distance; EUR 140 000 - 220 000; Plein temps

Avantages offerts par ce poste

Remote Work

Home Office Bonus

Stock Options

Health Plan

Flexible Time Off

Résumé du poste

Yuno is building the AI-native operating system for global commerce. We seek a Staff AI Engineer to lead Payments Intelligence, architecting AI agents and intelligence systems that power smarter payments across markets.

You will own production LLM pipelines, define agentic AI strategies, and guide engineers towards reliable, compliant solutions. This hands-on leadership role focuses on multi-market deployments, real-time performance, and mentoring across product, data science, and staff

Qualifications

• Extensive software engineering experience building production AI-agent/LLM systems.
• Deep expertise in multi-step agents, tool use, orchestration, memory, and RAG.
• Strong Python for AI/ML; backend engineering in Go/Kotlin to productionize systems.

Responsabilités

• Lead architecture of AI agents (AIDA, NOVA) and intelligence systems.
• Design multi-step agents with tools, orchestration, memory, and RAG.
• Develop conversational, multilingual agent experiences across channels.
• Define safety, guardrails, and evaluation for production-grade AI.
• Build client-intelligence systems turning payment data into insights for merchants.
• Drive AI Ops automation and cross-functional collaboration with Product and Data Science.

Connaissances

Agentic AI

LLM Applications

Python

Go/Kotlin

AWS / Cloud

LLM Evaluation/Observability

Leadership

English Proficiency

Outils

LangFuse

LangSmith

MLflow

Description du poste

Yuno is building the AI-native operating system for global commerce. We seek a Staff AI Engineer to lead Payments Intelligence, architecting AI agents and intelligence systems that power smarter payments across markets.

You will own production LLM pipelines, define agentic AI strategies, and guide engineers towards reliable, compliant solutions. This hands-on leadership role focuses on multi-market deployments, real-time performance, and mentoring across product, data science, and staff