Senior AI Platform Engineer – Agentic & RAG

NVIDIA Corporation; Santa Clara (CA); On-site; USD 248,000 - 391,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

NVIDIA is seeking a deeply technical, hands-on Senior full-stack developer to build the next generation AI platforms and products. Lead architecture and scaling of AI systems, integrating agents with data sources and microservices, and ensuring reliability at scale.

You will collaborate with Cloud, AI/ML & Generative AI teams in a hybrid, fast-paced environment. A strong background in distributed systems, LLMs, and tool orchestration is required.

Qualifications

• BS/MS/PhD in CS or related field (or equivalent experience).
• 15+ years of experience building large-scale distributed systems and cloud-native apps (Python preferred).
• Experience designing LLM-powered systems including RAG and agent-based architectures.
• Strong knowledge of agent frameworks and orchestration tools.
• Experience deploying applications in Kubernetes and cloud/hybrid environments.
• Excellent problem-solving, communication, and system design skills.

Responsibilities

• Hands-on experience with test automation, production testing, and automation frameworks.
• Architect and build agentic AI systems leveraging LLMs for reasoning, planning, and tool orchestration.
• Integrate agents with enterprise data sources, APIs, and internal microservices.
• Ensure reliability, safety, and performance of autonomous systems at scale.
• Mentor engineers and provide technical leadership in designing complex distributed AI systems.
• Stay at the forefront of advancements in LLMs, agent frameworks, tool use, and open-source ecosystems.

Skills

Test automation

Linux

Embedded systems

Firmware

Kubernetes

Python

LLM-powered systems

Agent frameworks

Tool orchestration

Education

BS/MS/PhD in CS/EE/CE or related field

Tools

LangChain

Docker

Job description

NVIDIA is seeking a deeply technical, hands-on Senior full-stack developer to build the next generation AI platforms and products. Lead architecture and scaling of AI systems, integrating agents with data sources and microservices, and ensuring reliability at scale.

You will collaborate with Cloud, AI/ML & Generative AI teams in a hybrid, fast-paced environment. A strong background in distributed systems, LLMs, and tool orchestration is required.