Senior Platform AI Engineer - LLM & Agentic AI

NVIDIA Corporation

Santa Clara (CA)

On-site

USD 168,000 - 322,000

Full time

6 days ago
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Job summary

NVIDIA Corporation in Santa Clara, CA seeks a deeply technical Senior Full-Stack Software Engineer to build next-gen AI platforms and products enhancing business efficiency. You will lead architecture, development, and scaling of software systems, collaborating with Cloud, AI/ML, and Generative AI teams in an agile environment.

The role demands 8+ years in distributed systems, expertise in LLM-powered architectures, and hands-on Kubernetes/Docker experience.

Qualifications

  • 8+ years building large-scale distributed systems.
  • Experience deploying cloud-native applications, Python preferred.
  • Proficient with LLM-powered systems and agentic AI concepts.

Responsibilities

  • Hands-on experience with test automation, production testing, and automation frameworks.
  • Solid understanding of Linux, embedded systems, firmware, and hardware/software integration.
  • Deep knowledge of IT Service Management (ITSM) and ServiceNow (HR, Security, Finance modules preferred).
  • Collaborate with cross-functional teams to deliver end-to-end intelligent experiences across applications.
  • Integrate agents with enterprise data sources, APIs, and internal microservices to enable real-world actions.
  • Architect and build agentic AI systems that leverage LLMs for reasoning, planning, and tool orchestration across enterprise workflows.
  • Develop scalable platforms for retrieval-augmented generation (RAG), long-term memory, and contextual reasoning.
  • Build reusable infrastructure for agent orchestration, tool integration, evaluation, and observability.

Skills

Large-scale distributed systems
Python
Cloud platforms
LLM-powered systems

Education

Bachelor's or Master's in CS or related field

Tools

Kubernetes
Docker
LangChain
APIs

Job description

NVIDIA Corporation in Santa Clara, CA seeks a deeply technical Senior Full-Stack Software Engineer to build next-gen AI platforms and products enhancing business efficiency. You will lead architecture, development, and scaling of software systems, collaborating with Cloud, AI/ML, and Generative AI teams in an agile environment.

The role demands 8+ years in distributed systems, expertise in LLM-powered architectures, and hands-on Kubernetes/Docker experience.

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