Head of AI Engineering

Yuno

21h•Remote

About The Position

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 â enabling merchants, consumers, and partners to operate with flexibility, intelligence, and trust. Weâre entering a new chapter: infusing artificial intelligence across Yunoâs 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 Yunoâs AI strategy and lead the execution of AI-powered systems that transform how Yuno operates and innovates. This role goes beyond building models â itâs 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 â from optimizing payment experiences to accelerating development, testing, troubleshooting, and product creation.

Requirements

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 end-to-end outcomes.
Strong engineering + product mindset â able to balance technical depth with strategic impact and business priorities.
Exceptional communication and stakeholder management across Product, Engineering, Data, and Leadership.
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.

Nice To Haves

Experience with LlamaIndex, Hugging Face, and open-source 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, data-intensive industries.

Responsibilities

AI Strategy, Roadmap & Leadership
Define the AI vision and multi-quarter roadmap aligned with Yunoâs 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 & Development
Architect and oversee delivery of LLM-powered applications that augment and automate key workflows across Yuno â 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 & Scalability
Identify 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 & Governance
Lead fine-tuning, contextual optimization, and evaluation of AI systems using Yunoâs 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 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.