Senior AI Systems Engineer
At a glance
Senior AI Engineering role at NVIDIA. Israel, Yokneam · full-time.
Pay not stated AI Engineering salary
aimlroles summary, based on the employer's posting.
What you'll do
- Design agent platforms and workflows that make agent use simpler across the organization
- Build complete AI solutions to improve organizational quality and productivity
- Connect AI capabilities with existing products and workflows
- Create evaluation methods to track and improve AI system performance
- Gather and prepare data from large sources for AI training and inference
What you bring
- A computer science, AI, machine learning or related degree, or equivalent experience
- At least six years building production software systems
- At least one year developing LLM solutions, AI agents or AI workflows
- You’re proficient in Python and can apply current AI concepts in practice
Who this fits
This senior engineering role suits someone who can build production software and develop AI systems end to end. You’ll work with teams across functions to identify and deliver AI opportunities.
From the employer
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