Senior Software Engineer, RAG and Agentic AI

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 components, analyzing the data and recommending actionable strategic enhancements.”
• Collaborate with various teams on new product features and the improvement of existing product. Provide guidance and support to NVIDIA internal teams and external partners on domain-adaptation, customization and integration of the RAG pipeline.
• Champion engineering excellence by leading rigorous code, architecture, and test plan reviews, authoring robust user documentation, and driving collaborative problem-solving and triage initiatives.
• Drive software excellence by designing with clean architectural patterns and automating the path to production through advanced CI/CD, testing, and telemetry workflows.

What we need to see:

• 5 years of professional software engineering experience, with deep expertise in Python, and AI applications.
• Bachelor’s degree or Master’s degree (or equivalent experience) in Computer Science, Electrical Engineering, Data Science, Artificial Intelligence or other related fields
• Hands-on experience building and deploying LLM-powered AI applications or RAG or Agentic AI workflows.
• Strong understanding of LLM design patterns, including tool calling, prompt engineering, structured outputs, reasoning.
• Experience with agent frameworks or orchestration systems such as LangGraph, LangChain, OpenAI Agents SDK, or similar.
• Have working experience with microservices, Docker, Helm, Kubernetes.
• Experience with end-to-end software lifecycle, release packaging, and CI/CD pipelines.
• Strong collaborative and interpersonal skills, specifically a proven ability to effectively guide and influence within a dynamic environment involving teams across the globe.

Ways to stand out from the crowd:

• Experience designing multi-agent systems and sophisticated workflow orchestration engines.
• Familiarity with evaluation frameworks, MLOps pipelines, and AI observability tooling.
• Background in deploying AI models on data center, cloud, and embedded systems.
• Strong python programming skills and experience of working with AI coding agents.

NVIDIA is committed to encouraging a diverse work environment and is proud to be an equal opportunity employer. We highly value diversity in our current and future employees. We do not discriminate in hiring or promotion based on race, religion, color, national origin, gender, gender expression, sexual orientation, age, marital status, veteran status, disability status, or any other legally pr…