Senior Software Engineer, RAG and Agentic AI

NVIDIA — India, Bengaluru

NVIDIA has been transforming computer graphics, PC gaming, and accelerated computing for more than 25 years. It’s a unique legacy of innovation that’s fueled by great technology—and amazing people. Today, we’re tapping into the unlimited potential of AI to define the next era of computing. An era in which our GPU acts as the brains of computers, robots, and self-driving cars that can understand the world. Doing what’s never been done before takes vision, innovation, and the world’s best talent. As an NVIDIAN, you’ll be immersed in a diverse, supportive environment where everyone is inspired to do their best work. We are looking for a Senior Software Engineer to join our AI Blueprints team to build multimodal, scalable, production-grade reference RAG solutions. In this role you will build the next-generation RAG architecture using Agentic AI and NVIDIA Nemotron models and develop orchestration layers to dynamically interact with proprietary unstructured and structured data sources. If you are creative and passionate about real-world enterprise AI challenges, come join us. What you’ll be doing: Plan, build and refine a GPU-accelerated, scalable, configurable Retrieval Augmented Generation (RAG) workflow and optimize it for accuracy, relevance, grounding and performance. Design and implement AI agents to enhance RAG pipeline which are capable of reasoning, planning, multi-step execution, and collaboration across tools and services Run fast, high-quality POCs on emerging agent and RAG architectures; harden successful patterns into generalized, reusable implementations and integrate them as part of production software. Build and deploy a disaggregated, end-to-end RAG pipeline using on-prem microservices architecture, orchestrating complex, multi-service deployments from local Docker environments to enterprise-scale Kubernetes clusters. Drive the continuous improvement of the pipelines by rigorously evaluating system accuracy, characterizing performance metrics across com

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