Senior AI Engineer

****Hyderabad, On-site, Full Time with 5+ years experince**** **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. 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 Senior AI Engineer to architect, build, and scale AI-powered systems that redefine how Yuno operates and innovates. This role goes beyond building models; it’s about designing agentic systems, AI-assisted workflows, and data-driven decision engines that help the company scale faster than headcount. You will be at the forefront of developing the next generation of autonomous systems that power both customer-facing products and internal operations, from optimizing payment experiences to accelerating development, testing, troubleshooting, and product creation. **How Yuno will challenge you** **AI Product Architecture & Development** • Architect, build, and deploy LLM-powered applications that augment and automate key workflows across Yuno, from customer service and new product development to internal agentic workflows that optimize critical company processes. • Design autonomous AI systems that can execute technical analysis, testing, troubleshooting, and decision-making at scale. • Develop AI-driven tools that create measurable business impact, improving efficiency, accelerating innovation, and driving revenue growth. **Operational Intelligence & Scalability** • Identify areas across Yuno where AI can generate efficiency gains, reducing manual work, optimizing processes, and enabling smarter operations. • Build AI systems that enable Yuno to scale without exponential growth in headcount, thereby creating sustainable productivity and organizational intelligence. **Data & Model Optimization** • Lead fine-tuning and contextual optimization of AI models using Yuno’s proprietary data. • Continuously refine performance through structured feedback loops, observability metrics, and user interaction data. • Ensure adherence to privacy, compliance, and ethical AI principles in all model development. **Cross-Functional Collaboration & Innovation** • Work closely with data, product, and infrastructure teams to define the long-term AI roadmap for Yuno. • Experiment with emerging AI technologies to identify new capabilities that can drive differentiation and strategic advantage. • Contribute to a culture of experimentation, rapid iteration, and continuous learning across the AI function. **The skills you need** **What We’re Looking For** • 5+ years of professional experience in AI/ML development, with at least 2 years focused on LLMs, RAG, or agentic systems. • Strong engineering and product mindset, capable of balancing technical depth with strategic impact. • Exceptional communication and collaboration skills to work across product, engineering, and data functions. • Passion for pushing the boundaries of applied AI and creating systems that drive real business transformation. • Willing to work from the Hyderabad office. **Minimum Qualifications** • LLMs & RAG: Proven experience designing and deploying systems using models like GPT, Claude, Gemini, or similar, including Retrieval-Augmented Generation (RAG) pipelines and contextual retrieval systems. • AI Agents & Multi-Agent Systems: Hands-on experience with , LangChain, LangGraph, or similar frameworks to build orchestrated agentic workflows. • Fine-Tuning & Context Engineering: Expertise in supervised fine-tuning (SFT), LoRA, or custom dataset adaptation for domain-specific tasks. • Programming & Frameworks: Proficiency in Python, GO, and AI/ML libraries such as PyTorch, TensorFlow, or JAX. • AI Infrastructure: Experience designing scalable, production-ready AI systems in AWS, GCP, or Azure, with a deep understanding of vector databases, model serving, and inference optimization. • Observability & Monitoring: Familiarity with LangSmith, LangFuse, or equivalent tools for tracking, debugging, and evaluating LLM performance. • API Integration: Expertise in integrating AI systems with RESTful APIs and internal platforms to create seamless, usable products. **Preferred Qualifications** • Experience using LlamaIndex, Hugging Face, or similar open-source frameworks. • Strong understanding of context optimization, embedding strategies, and knowledge retrieval. • Familiarity with MLOps, CI/CD pipelines, and production deployment best practices. • Prior experience in fintech, payments, or other data-intensive and regulated industries. • Analytical rigor and ability to translate business objectives into measurable AI outcomes.