AI engineer in payments

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.

• 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

• 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
• Будет плюсом: 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

• 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