Description

AI Specialist Engineer

Location: Ra’anana, Israel

About Us

DriveNets is a leader in disaggregated high-scale networking solutions for service providers and AI infrastructures. Founded in December 2015, DriveNets created a radical new way to build networks by adapting the architectural model of the cloud to telco-grade networking. This solution accelerates network deployment, improves the network’s economic model, and radically simplifies network operations. With customers including Comcast, Orange, and KDDI - over 80% of AT&T’s network traffic now runs through a disaggregated core powered by DriveNets software. DriveNets Network Cloud-AI solution, based on the same technology, was introduced to the market in 2023, providing the highest-performance Ethernet-based AI networking solution, and is already deployed by Hyperscalers, NeoClouds and Enterprises. Raising over $587 million in three funding rounds, DriveNets continues to deploy the most innovative network infrastructure and is looking for the most talented people to be part of this journey.

The Role

We're looking for an AI Specialist Engineer to join our AI Enablement team. This is a high-impact role where you will build products and internal tools used across the entire company, while working with the most advanced AI tools and best practices available today.

Key Responsibilities

• Develop internal AI-powered products and tools used by teams across DriveNets to work faster and smarter.
• Lead the evaluation, integration, and rollout of AI-powered development tools across engineering teams.
• Build proof-of-concept projects and internal tooling that demonstrate the practical value of AI in real workflows.
• Develop best practices, prompt engineering guidelines, and training materials for AI-assisted development.
• Stay current with the rapidly evolving AI tooling landscape and advise leadership on strategic adoption.
• Work hands-on with the most advanced AI development tools and shape how the company uses them.
  
  

Requirements

• B.Sc. or M.Sc. in Computer Science, Electrical Engineering, or a related field, graduated with Honors
• AI Development Tools: Hands-on experience using AI-powered coding assistants and agentic development tools — not just familiarity, but meaningful integration into your workflow.
• Communication: Ability to explain technical concepts clearly and influence adoption across teams with varying levels of AI experience.