Job Title

Who We Are Yuno 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. Were entering a new chapter: infusing artificial intelligence across Yunos 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 Yunos AI strategy and lead the execution of AI-powered systems that transform how Yuno operates and innovates. This role goes beyond building models its 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 customerfacing products and internal operations from optimizing payment experiences to accelerating development, testing, troubleshooting, and product creation. How Yuno will challenge you AI Strategy, Roadmap & Leadership Define the AI vision and multiquarter roadmap aligned with Yunos business priorities (product, operations, revenue) Build and lead a highperforming AI engineering team: hiring, mentoring, performance management, and career development Establish engineering standards for quality, security, observability, evaluation, and responsible AI AI Product Architecture & Development Architect and oversee delivery of LLMpowered applications that augment and automate key workflows across Yuno from customerfacing product capabilities to internal agentic workflows Design autonomous AI systems that can execute technical analysis, testing, troubleshooting, and decisionmaking at scale Partner with Product to define success metrics and ensure AI initiatives drive measurable business impact Operational Intelligence & Scalability Identify highleverage 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 (automationfirst, agentfirst workflows) Data, Model Optimization & Governance Lead finetuning, contextual optimization, and evaluation of AI systems using Yunos 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 CrossFunctional Collaboration & AI Platform Enablement Work 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 need What Were Looking For 8+ 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 endtoend 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 & MultiAgent Systems: Handson experience with frameworks such as CrewAI, LangChain, LangGraph, or similar FineTuning & 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 opensource model ecosystems 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, dataintensive industries What we offer at Yuno Competitive compensation Remote work work from anywhere Home office bonus onetime allowance Work equipment Stock options Health plan wherever you are Flexible days off Language, professional, and personal growth courses We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. #J-18808-Ljbffr