Yuno

AI engineer in payments intelligence

In short

Yuno, an AI-native payments infrastructure company, is hiring a Staff AI Engineer to lead its Payments Intelligence unit, owning the architecture of its AI agents (AIDA, NOVA) and intelligence products. The role requires deep expertise in agentic systems, LLM applications, RAG, and production-grade AI engineering with Python plus Go/Kotlin, along with proven technical leadership and mentoring experience. It's a fully remote, lead-level position demanding extensive hands-on experience shipping production LLM/AI-agent systems in a compliance-sensitive, multi-market payments environment.

About Yuno
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.
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.
Responsibilities
•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
•Design multi-step agents with tool use, orchestration, memory, and retrieval-augmented generation (RAG), engineered for reliability and low latency at scale
•Build agents that hold real, dynamic customer conversations across channels (phone, WhatsApp) and 70+ languages, adapting to context and intent
•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
•Architect the client-intelligence systems that turn payment data into actionable insight for merchants
•Build the AI-driven automation that streamlines internal operations and support
•Mentor engineers and partner with Product, Data Science, and Staff Engineers across domains to ship complex, cross-team AI work
Requirements
•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
Nice to have
•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
•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
Conditions
•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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