AI engineer

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 stable coins 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, Net Ease Games, Go Fund Me , 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, Whats App) 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 product ionize 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 Lang Fuse, Lang Smith, 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 Big Query;
• 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