As a Senior Software Engineer on the AI Blueprints team at NVIDIA, you will be responsible for designing and implementing GPU-accelerated, scalable Retrieval Augmented Generation (RAG) workflows using Agentic AI and NVIDIA Nemotron models. Your role will involve building the next-generation RAG architecture, developing orchestration layers for interacting with data sources, and enhancing the RAG pipeline with AI agents capable of reasoning and collaboration. Additionally, you will drive continuous improvement by evaluating system accuracy, analyzing performance metrics, and recommending strategic enhancements. **Key Responsibilities:**
Plan, build, and refine a GPU-accelerated, scalable RAG workflow optimized for accuracy, relevance, and performance. - Design and implement AI agents to enhance RAG pipeline capabilities such as reasoning, planning, and collaboration. - Run high-quality POCs on emerging agent and RAG architectures, integrating successful patterns into production software. - Build and deploy an end-to-end RAG pipeline using microservices architecture, orchestrating deployments from local Docker environments to Kubernetes clusters. - Collaborate with various teams on new product features, provide guidance to internal teams and external partners on domain-adaptation, customization, and integration. - Champion engineering excellence by leading code and architecture reviews, authoring user documentation, and driving collaborative problem-solving initiatives. - Drive software excellence through clean architectural design and advanced CI/CD workflows. **Qualifications Required:**
8+ years of professional software engineering experience with expertise in Python and AI applications. - Bachelor's or Master's degree in Computer Science, Electrical Engineering, Data Science, or related fields. - Hands-on experience with LLM-powered AI applications, RAG, or Agentic AI workflows. - Strong understanding of LLM design patterns, agent frameworks, microservices, Docker, Helm, Kubernetes, and CI/CD pipelines. - Collaborative and interpersonal skills with the ability to influence within a dynamic global environment. Join NVIDIA to work on cutting-edge technology and enjoy competitive salaries and comprehensive benefits. Explore the opportunities at www.nvidiabenefits.com As a Senior Software Engineer on the AI Blueprints team at NVIDIA, you will be responsible for designing and implementing GPU-accelerated, scalable Retrieval Augmented Generation (RAG) workflows using Agentic AI and NVIDIA Nemotron models. Your role will involve building the next-generation RAG architecture, developing orchestration layers for interacting with data sources, and enhancing the RAG pipeline with AI agents capable of reasoning and collaboration. Additionally, you will drive continuous improvement by evaluating system accuracy, analyzing performance metrics, and recommending strategic enhancements. **Key Responsibilities:**
Plan, build, and refine a GPU-accelerated, scalable RAG workflow optimized for accuracy, relevance, and performance. - Design and implement AI agents to enhance RAG pipeline capabilities such as reasoning, planning, and collaboration. - Run high-quality POCs on emerging agent and RAG architectures, integrating successful patterns into production software. - Build and deploy an end-to-end RAG pipeline using microservices architecture, orchestrating deployments from local Docker environments to Kubernetes clusters. - Collaborate with various teams on new product features, provide guidance to internal teams and external partners on domain-adaptation, customization, and integration. - Champion engineering excellence by leading code and architecture reviews, authoring user documentation, and driving collaborative problem-solving initiatives. - Drive software excellence through clean architectural design and advanced CI/CD workflows. **Qualifications Required:**
8+ years of professional software engineering experience with expertise in Python and AI applications. - Bachelor's or Master's degree in Computer Science, Electrical Engineering, Data Science, or related fields. - Hands-on experience with LLM-powered AI applications, RAG, or Agentic AI workflows. - Strong understanding of LLM design patterns, agent frameworks, microservices, Docker, Helm, Kubernetes, and CI/CD pipelines. - Collaborative and interpersonal skills with the ability to influence within a dynamic global environment. Join NVIDIA to work on cutting-edge technology and enjoy competitive salaries and comprehensive benefits. Explore the opportunities at www.nvidiabenefits.com