NVIDIA

Yoqne‘am ‘Illit, Northern District · Tel Aviv

Senior AI Systems Engineer

Posted 10 Sept 2026 · Senior

The job in two lines

This role involves developing and implementing advanced AI solutions, including agentic workflows and LLM-based systems, to enhance products and internal processes.

Summary by Rezifi's AI, from NVIDIA’s posting. Years and pay appear only when the posting states them.

What you'd do

  • Design and implement Agentic platforms and workflows
  • Develop AI solutions that integrate seamlessly with existing products and workflows
  • Build evaluation frameworks to measure and improve AI system performance

Skills it is built around

  • AI solutions
  • AI Agents
  • AI workflows
  • LLM-based solutions
  • Python

Required

  • AI system performance
  • AI opportunities

Nice to have

  • Machine Learning domains
  • Microservices Architecture
  • Vector Databases
  • embedding technologies
  • Retrieval-Augmented Generation
  • AI agent architectures

The facts

Experience
6+ years
From the posting: “6+ years of experience in software development and building production-grade software systems.”
Pay
Not stated
The posting states no pay.
Level
Senior
Field
AI systems engineering

The full posting

From NVIDIA’s careers site

As NVIDIA posted it. See the original

NVIDIA is looking for a talented AI Solutions Engineer to join our innovative AI team. The team develops advanced AI platforms and applications including agentic workflows, Retrieval-Augmented Generation (RAG) systems, Large Language Model (LLM) based solutions, AI agents, MCPs, and more. You will have the opportunity to shape how AI transforms our products and internal processes worldwide. Your responsibilities will include implementing state-of-the-art AI technologies, developing all aspects of the project – AI, code, data preparation, evaluation, and deployment. We are looking for a motivated teammate who thrives on solving complex problems with AI and continuously explores emerging techniques in this rapidly evolving field.

What you'll be doing:

  • Design and implement Agentic platforms and workflows to simplify the agentic experience across the company.

  • End-to-end solutions Implementation to increase the organization quality and productivity.

  • Develop AI solutions that integrate seamlessly with existing products and workflows

  • Build evaluation frameworks to measure and improve AI system performance

  • Collaborate with cross-functional teams to identify and implement AI opportunities

  • Collect and prepare data from multiple large scale sources for AI training and inference

What we need to see:

  • B.Sc. (or equivalent experience) in Computer Science, AI, Machine Learning or related field

  • 6+ years of experience in software development and building production-grade software systems.

  • 1+ years of experience building LLM-based solutions, AI agents, and AI workflows.  

  • Proficiency in Python

  • Strong understanding of modern AI concepts and practical applications

  • Proficiency in Python

Ways to stand out from the crowd:

  • Strong understanding of modern Machine Learning domains, known algorithms, architectures and techniques

  • Experience developing large scale software, including in a micro services architecture

  • Experience with vector databases, embedding technologies and RAG systems

  • Experience developing AI agent architectures and orchestration systems