Staff AI Engineer, Payments Intelligence

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

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

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

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.

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

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