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AI Solutions Engineer

NVIDIA is the world leader in accelerated computing, pioneering solutions in AI and digital twins that transform industries.
Machine Learning
Mid-Level Software Engineer
In-Person
5,000+ Employees
3+ years of experience
AI · Enterprise SaaS

Description For AI Solutions Engineer

NVIDIA is seeking an exceptional AI Solutions Engineer to join their innovative AI team. This role focuses on developing cutting-edge AI applications including Retrieval-Augmented Generation (RAG) systems, Large Language Model (LLM) implementations, large scale AI Agents, MCPs, and recommendation engines. The position offers an opportunity to shape how AI transforms NVIDIA's products and internal processes worldwide.

The role requires a strong technical background with at least 3 years of software development experience and 2 years of AI/ML systems implementation. The ideal candidate will have expertise in Python, vector databases, and embedding technologies, along with a deep understanding of modern Machine Learning domains.

Working at NVIDIA, you'll be part of a team developing state-of-the-art AI technologies, from design to deployment. Key responsibilities include implementing RAG systems, building evaluation frameworks, and developing end-to-end AI solutions that integrate with existing products and workflows.

NVIDIA offers competitive compensation and a comprehensive benefits package. The company is known for being one of the technology world's most desirable employers, with rapidly expanding AI teams due to unprecedented growth. They foster a diverse and inclusive work environment, making it an excellent opportunity for creative and autonomous engineers passionate about artificial intelligence.

The position is based in Israel (Yokneam or Tel Hai) and offers the chance to work on transformative AI technologies while collaborating with some of the industry's brightest minds. If you're excited about pushing the boundaries of AI technology and want to be part of a company at the forefront of accelerated computing, this role presents an exceptional opportunity for career growth and impact.

Last updated a day ago

Responsibilities For AI Solutions Engineer

  • Design and implement RAG systems to enhance knowledge retrieval across company resources
  • End-to-end solutions Implementation to increase the organization quality and productivity
  • Develop AI solutions that integrate 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

Requirements For AI Solutions Engineer

Python
  • B.Sc. (or equivalent experience) in Computer Science, AI, Machine Learning or related field
  • 3+ years experience in software development
  • 2+ years experience implementing production AI/ML systems
  • Strong understanding of modern Machine Learning domains, algorithms, architectures and techniques
  • Proficiency in Python
  • Experience with vector databases and embedding technologies
  • Ability to balance technical innovation with practical implementation
  • Experience data collection and preparation from diverse large-scale sources

Benefits For AI Solutions Engineer

Medical Insurance
  • Competitive salaries
  • Generous benefits package

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