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 Crew.ai, 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.