Senior AI Solutions Engineer

NVIDIA
Tel Aviv
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringEducation: bachelorsSkills: ["Communication","People skills","Customer focus","Problem-solving"]

Serve as a bridge between NVIDIA’s AI capabilities and internal teams, leading technical engagements and supporting adoption of AI solutions. Build and customize production-grade LLM applications such as RAG pipelines, AI agents, and evaluation workflows, then integrate them into existing systems. Troubleshoot onboarding issues, guide users on effective tool usage, and develop demos/POCs to demonstrate best practices and real value for customer use cases.

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FursaFursa
NVIDIA
NVIDIA
1 day ago

Senior AI Solutions Engineer

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Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Serve as a bridge between NVIDIA’s AI capabilities and internal teams, leading technical engagements and supporting adoption of AI solutions. Build and customize production-grade LLM applications such as RAG pipelines, AI agents, and evaluation workflows, then integrate them into existing systems. Troubleshoot onboarding issues, guide users on effective tool usage, and develop demos/POCs to demonstrate best practices and real value for customer use cases.
Location: Tel Aviv
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Lead technical engagements to showcase AI capabilities and demonstrate best practices.
  • •Support integration of AI solutions into existing systems and workflows.
  • •Guide users to effectively use AI tools and platforms to maximize impact.
  • •Develop and customize AI solutions such as RAG pipelines, LLM-based applications, evaluation, and agents based on customer use cases while ensuring reliability.
  • •Troubleshoot technical issues and provide hands-on support during onboarding and adoption.

Key Requirements

  • •B.Sc. (or equivalent experience) in Computer Science, AI, Machine Learning, or a related field.
  • •8+ years of experience in software development and building production-grade software systems.
  • •2+ years of experience building LLM-based solutions, AI agents, and AI workflows.
  • •Experience working with customers in a technical capacity.
  • •Strong understanding of modern AI/ML concepts and practical applications.
Experience:AIMachine learningLLMCustomer-facing technical
Education:Bachelor's in Computer Science, AI, Machine Learning
Skills:CommunicationPeople skillsCustomer focusProblem-solving
Tech Stack:PythonLLMRAGAI agentsAgentic workflowsMCPsVector databasesEmbeddingsEvaluation methods

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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