Before you apply
Listed location: Israel, Yokneam | Israel, Tel Aviv
Work arrangement: onsite. A remote label does not confirm worldwide eligibility or visa sponsorship.
Read the employer’s description for qualifications, compensation and work eligibility. Confirm the position is still open on the application page.
Job description supplied by NVIDIA; category and skill labels may be inferred. How our listings work · Report a problem
Job Description
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
Skills mentioned
Categories
Frequently asked questions
Is the Senior AI Systems Engineer position at NVIDIA remote?
The Senior AI Systems Engineer role at NVIDIA does not have a confirmed remote arrangement in our data. Check the employer description for its work location.
What type of employment is the Senior AI Systems Engineer role?
NVIDIA is hiring for a full-time Senior AI Systems Engineer position.
Which skills are mentioned for the Senior AI Systems Engineer job at NVIDIA?
Detected skill labels include Python, LLM, RAG. Check the employer description to distinguish required skills from preferred experience.
How do I apply for the Senior AI Systems Engineer position at NVIDIA?
You can apply for the Senior AI Systems Engineer role directly through NVIDIA's official application link provided on this page.