# Senior AI Engineer

**Company**: Yuno
**Location**: Hyderabad
**Work arrangement**: onsite
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Finance

**Apply**: https://jobs.lever.co/yuno/11c53d1c-9bf0-41c7-8547-35ad174dacb2
**Canonical**: https://yubhub.co/jobs/job_52542071-2d3

## Description

We're 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.

Responsibilities:

* 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:

* 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.

## Skills

### Required
- LLMs & RAG
- AI Agents & Multi-Agent Systems
- Fine-Tuning & Context Engineering
- Programming & Frameworks
- AI Infrastructure
- Observability & Monitoring
- API Integration

### Nice to have
- 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