Platform AI Engineer - Agentic LLM & RAG Orchestration

Jobverse.io; Santa Clara (UT); On-site; USD 140,000 - 210,000; Full time

Job summary

NVIDIA, a leader in accelerated computing, invites a Senior Software Engineer to architect, build, and scale AI platforms and agentic AI products using LLMs, RAG, enterprise integrations, and cloud-native technologies.

You will collaborate with Cloud and AI/ML teams to deliver end-to-end intelligent experiences across applications, integrating agents with enterprise data sources and internal microservices for real-world actions.

Qualifications

• Hands-on experience with test automation and production testing.
• Strong knowledge of Linux, embedded systems, firmware, and hardware/software integration.
• Experience with ITSM and ServiceNow modules (HR, Security, Finance) preferred.
• Ability to collaborate with cross-functional teams.
• Experience with end-to-end intelligent experiences using LLMs.

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

Test automation

Linux

ITSM

ServiceNow

Collaboration

LLMs/RAG

Tools

Automation frameworks

Job description

NVIDIA, a leader in accelerated computing, invites a Senior Software Engineer to architect, build, and scale AI platforms and agentic AI products using LLMs, RAG, enterprise integrations, and cloud-native technologies.

You will collaborate with Cloud and AI/ML teams to deliver end-to-end intelligent experiences across applications, integrating agents with enterprise data sources and internal microservices for real-world actions.