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Who We AreYuno is a leader in payment orchestration, building the infrastructure that powers frictionless, global transactions for modern businesses.
Our mission
is to simplify and revolutionize how payments move — enabling merchants, consumers, and partners to operate with flexibility, intelligence, and trust.
We’re entering a new chapter: infusing artificial intelligence across Yuno’s products and internal operations.
We aim to design intelligent systems that create exponential efficiency, enhance user experiences, and unlock new sources of revenue. Shape your future with Yuno.
We are seeking a Head of AI Engineering to define Yuno’s AI strategy and lead the execution of AI-powered systems that transform how Yuno operates and innovates.
This role goes beyond building models — it’s about building and leading the AI function, shaping the roadmap, architecting scalable platforms, and delivering agentic systems and AI-assisted workflows that help Yuno scale faster than headcount.
You will lead the development of autonomous systems powering both customer-facing products and internal operations — from optimizing payment experiences to accelerating development, testing, troubleshooting, and product creation. 🟣 How Yuno will challenge youAI Strategy, Roadmap LeadershipDefine the AI vision and multi-quarter roadmap aligned with Yuno’s business priorities (product, operations, revenue). Build and lead a high-performing AI engineering team: hiring, mentoring, performance management, and career development. Establish engineering standards for quality, security, observability, evaluation, and responsible AI. AI Product Architecture DevelopmentArchitect and oversee delivery of LLM-powered applications that augment and automate key workflows across Yuno — from customer-facing product capabilities to internal agentic workflows. Design autonomous AI systems that can execute technical analysis, testing, troubleshooting, and decision-making at scale. Partner with Product to define success metrics and ensure AI initiatives drive measurable business impact. Operational Intelligence ScalabilityIdentify high-leverage areas where AI can reduce manual work, optimize processes, and increase organizational intelligence. Build systems that enable Yuno to scale without exponential growth in headcount (automation-first, agent-first workflows). Data, Model Optimization GovernanceLead fine-tuning, contextual optimization, and evaluation of AI systems using Yuno’s proprietary data. Build feedback loops, observability metrics, and experimentation frameworks to continuously improve performance. Ensure adherence to privacy, compliance, and ethical AI principles across the AI stack. Cross-Functional Collaboration AI Platform EnablementWork closely with Engineering, Data, Security, and Infrastructure to build shared AI platform capabilities (retrieval, model serving, tooling, evaluation). Drive adoption of AI across the company by enabling other teams with reusable components, templates, and best practices. Stay ahead of emerging AI technologies and translate them into differentiated capabilities for Yuno. 🟣 The skills you needWhat We’re Looking For8+ years of professional software/AI engineering experience, with 3+ years focused on LLMs, RAG, or agentic systems in production. Demonstrated experience leading teams (hiring, mentoring, delivery management) and owning end-to-end outcomes. Strong engineering + product mindset — able to balance technical depth with strategic impact and business priorities. Exceptional communication and stakeholder management across Product, Engineering, Data, and Leadership. Minimum
Qualifications
LLMs RAG: Proven experience designing and deploying RAG pipelines and contextual retrieval systems with models like GPT, Claude, Gemini, etc. AI Agents Multi-Agent Systems: Hands-on experience with frameworks such as CrewAI, LangChain, LangGraph, or similar. Fine-Tuning Context Engineering: Experience with SFT/LoRA or domain adaptation, plus strong evaluation practices. Programming Systems: Strong proficiency in Python (and ideally Go) with production engineering rigor. AI Infrastructure: Experience building scalable AI systems in AWS/GCP/Azure, including vector DBs, inference optimization, and model serving. Observability Evaluation: Familiarity with LangSmith, LangFuse, OpenTelemetry/Grafana, or equivalent tooling. API Integration: Ability to integrate AI systems with RESTful APIs and internal platforms to ship real product. Preferred
Qualifications
Experience with LlamaIndex, Hugging Face, and open-source model eco
System
s. Strong knowledge of embedding strategies, retrieval optimization, and evaluation methodologies. Experience with MLOps/CI/CD and production deployment best practices. Prior experience in fintech/payments or other regulated, data-intensive industries. 🟣 What we offer at YunoCompetitive compensation Remote work — work from anywhere Home office bonus — one-time allowance Work equipment Stock options Health plan wherever you are Flexible days off Language, professional, and personal growth courses.
Our mission
is to simplify and revolutionize how payments move — enabling merchants, consumers, and partners to operate with flexibility, intelligence, and trust.
We’re entering a new chapter: infusing artificial intelligence across Yuno’s products and internal operations.
We aim to design intelligent systems that create exponential efficiency, enhance user experiences, and unlock new sources of revenue. Shape your future with Yuno.
We are seeking a Head of AI Engineering to define Yuno’s AI strategy and lead the execution of AI-powered systems that transform how Yuno operates and innovates.
This role goes beyond building models — it’s about building and leading the AI function, shaping the roadmap, architecting scalable platforms, and delivering agentic systems and AI-assisted workflows that help Yuno scale faster than headcount.
You will lead the development of autonomous systems powering both customer-facing products and internal operations — from optimizing payment experiences to accelerating development, testing, troubleshooting, and product creation. 🟣 How Yuno will challenge youAI Strategy, Roadmap LeadershipDefine the AI vision and multi-quarter roadmap aligned with Yuno’s business priorities (product, operations, revenue). Build and lead a high-performing AI engineering team: hiring, mentoring, performance management, and career development. Establish engineering standards for quality, security, observability, evaluation, and responsible AI. AI Product Architecture DevelopmentArchitect and oversee delivery of LLM-powered applications that augment and automate key workflows across Yuno — from customer-facing product capabilities to internal agentic workflows. Design autonomous AI systems that can execute technical analysis, testing, troubleshooting, and decision-making at scale. Partner with Product to define success metrics and ensure AI initiatives drive measurable business impact. Operational Intelligence ScalabilityIdentify high-leverage areas where AI can reduce manual work, optimize processes, and increase organizational intelligence. Build systems that enable Yuno to scale without exponential growth in headcount (automation-first, agent-first workflows). Data, Model Optimization GovernanceLead fine-tuning, contextual optimization, and evaluation of AI systems using Yuno’s proprietary data. Build feedback loops, observability metrics, and experimentation frameworks to continuously improve performance. Ensure adherence to privacy, compliance, and ethical AI principles across the AI stack. Cross-Functional Collaboration AI Platform EnablementWork closely with Engineering, Data, Security, and Infrastructure to build shared AI platform capabilities (retrieval, model serving, tooling, evaluation). Drive adoption of AI across the company by enabling other teams with reusable components, templates, and best practices. Stay ahead of emerging AI technologies and translate them into differentiated capabilities for Yuno. 🟣 The skills you needWhat We’re Looking For8+ years of professional software/AI engineering experience, with 3+ years focused on LLMs, RAG, or agentic systems in production. Demonstrated experience leading teams (hiring, mentoring, delivery management) and owning end-to-end outcomes. Strong engineering + product mindset — able to balance technical depth with strategic impact and business priorities. Exceptional communication and stakeholder management across Product, Engineering, Data, and Leadership. Minimum
Qualifications
LLMs RAG: Proven experience designing and deploying RAG pipelines and contextual retrieval systems with models like GPT, Claude, Gemini, etc. AI Agents Multi-Agent Systems: Hands-on experience with frameworks such as CrewAI, LangChain, LangGraph, or similar. Fine-Tuning Context Engineering: Experience with SFT/LoRA or domain adaptation, plus strong evaluation practices. Programming Systems: Strong proficiency in Python (and ideally Go) with production engineering rigor. AI Infrastructure: Experience building scalable AI systems in AWS/GCP/Azure, including vector DBs, inference optimization, and model serving. Observability Evaluation: Familiarity with LangSmith, LangFuse, OpenTelemetry/Grafana, or equivalent tooling. API Integration: Ability to integrate AI systems with RESTful APIs and internal platforms to ship real product. Preferred
Qualifications
Experience with LlamaIndex, Hugging Face, and open-source model eco
System
s. Strong knowledge of embedding strategies, retrieval optimization, and evaluation methodologies. Experience with MLOps/CI/CD and production deployment best practices. Prior experience in fintech/payments or other regulated, data-intensive industries. 🟣 What we offer at YunoCompetitive compensation Remote work — work from anywhere Home office bonus — one-time allowance Work equipment Stock options Health plan wherever you are Flexible days off Language, professional, and personal growth courses.
The company
Y
Yuno Argentina, Brazil, Canada, Colombia, United States
