AI Engineer

• Own operations problems end-to-end — Understand the operational pain, define the solution, be its PM, architect it, build it, ship it, and iterate until it actually works in production
• Drive AI transformation across the company — introduce AI-first practices into an R&D org with legacy habits; champion new tooling and prove it with shipped results
• Design and deploy agentic systems — AI agents, human-in-the-loop workflows, operational UIs, CRM integrations, n8n/orchestration pipelines that automate ops end-to-end
• Cross boundaries freely — get into other teams' code, other domains, other stacks; no "not my area"
• Work directly with business stakeholders — translate vague operational feedback into precise, well-architected solutions
• Reports to VP, R&D; works directly with business and ops leadership — you set priorities with them, not receive them

AI Transformation Engineer

• Build AI agents that solve real engineering problems across the networking stack — and ship them to daily use.
• Design and build the platforms that make those agents reliable: typed tool surfaces, cloud services, and the systems behind them.
• Work broadly across networking architecture teams to identify high-impact AI use cases and turn them into working solutions.
• Drive rapid and responsible AI adoption across the organization: establish best practices, guardrails, and evaluation methods so teams embrace agentic workflows with confidence.
• Build evaluation pipelines that measure and improve AI-agent behavior on real production workloads.

Senior Software Engineer, AI Agent Platforms

• Lead the development and integration of new features for Red Hat AI & Cloud, utilizing Nvidia’s cutting-edge technologies (GPUs, DPUs, and more)
• Write and optimize code that integrates hardware accelerators into the Red Hat portfolio, ensuring high performance for AI/ML workloads
• Take ownership of project modules, ensuring they meet rigorous non-functional requirements such as security, resiliency, and maintainability
• Partner with UX, UI, and QE teams to build seamless user experiences for our partners and customers
• Maintain high code quality through rigorous peer reviews and automated testing (CI), and proactively address security vulnerabilities
• Coach and guide junior and mid-level engineers, sharing technical knowledge to foster a culture of continuous learning
• Explore and experiment with emerging AI technologies relevant to software development, proactively identifying opportunities to incorporate new AI capabilities into existing workflows and tooling

Senior Software Engineer – Nvidia AI Ecosystem

• Own and drive AI engineering maturity journey
• Audit current AI tool usage
• Establish CLAUDE.md-equivalent constitution files
• Drive daily active usage above 70% across engineering org
• Design and deliver hands-on enablement
• Architect and implement agentic infrastructure
• Define and maintain AI engineering maturity roadmap
• Advise engineering leadership on organizational needs

AI Engineer jobs in Israel

See all jobs on JobTailor

AI Transformation Engineer

Senior Software Engineer, AI Agent Platforms

Senior Software Engineer – Nvidia AI Ecosystem

Principal AI Engineering Lead