Senior AI Systems Engineer

NVIDIA
Tel Aviv
Workplace: OnsiteFull timeFunction: IT Operations (Systems/Network Admin)Experience: 6+ yearsEducation: bachelorsSkills: ["Problem-solving","Collaboration","Continuous learning"]

Build and deploy agentic AI platforms and end-to-end solutions that integrate with existing products. You’ll implement state-of-the-art AI technologies spanning code, data preparation, evaluation, and deployment, and create evaluation frameworks to measure and improve performance. Collaborate with cross-functional teams to identify AI opportunities, collect and prepare large-scale data for training/inference, and develop scalable systems using modern AI and software engineering practices.

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FursaFursa
NVIDIA
NVIDIA
4 days ago

Senior AI Systems Engineer

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 22 hours agoStatus: Live
Reposted: similar role first listed 7 months ago

Job Summary

Build and deploy agentic AI platforms and end-to-end solutions that integrate with existing products. You’ll implement state-of-the-art AI technologies spanning code, data preparation, evaluation, and deployment, and create evaluation frameworks to measure and improve performance. Collaborate with cross-functional teams to identify AI opportunities, collect and prepare large-scale data for training/inference, and develop scalable systems using modern AI and software engineering practices.
Location: Tel Aviv
Workplace: Onsite
Employment Type: Full time
Job Function: IT Operations (Systems/Network Admin)
Seniority: Mid level

Key Responsibilities

  • •Design and implement agentic platforms and workflows to simplify the agentic experience across the company.
  • •Deliver end-to-end solutions to increase organizational quality and productivity.
  • •Develop AI solutions that integrate with existing products and workflows.
  • •Build evaluation frameworks to measure and improve AI system performance.
  • •Collect and prepare data from multiple large-scale sources for AI training and inference, and collaborate with cross-functional teams to identify AI opportunities.

Key Requirements

  • •B.Sc. (or equivalent experience) in Computer Science, AI, Machine Learning, or a 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.
Experience:6+ yearsAIMachine learningLLMAgentic AI
Education:Bachelor's
Skills:Problem-solvingCollaborationContinuous learning
Tech Stack:PythonLLMsLarge language modelsRAGRetrieval-Augmented GenerationAI agentsAgentic workflowsMicroservicesVector databasesEmbeddingsAI orchestrationMCPsData preparationEvaluation frameworksTrainingInference

Company Brief

NVIDIA
Designs and manufactures GPUs, AI accelerators, and system-on-chip products for gaming, data centers, professional visualization, and automotive markets, enabling advanced graphics, AI, and high-performance computing solutions worldwide.
Industry: Electronics Manufacturing
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Santa Clara, United States
Founded: 1993
Glassdoor
Glassdoor: 4.3
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