Top Artificial Intelligence Jobs in Israel

The AI Engineer is responsible for designing, implementing, and deploying AI systems and applications, focusing on machine learning models and large language models (LLMs).

Own and evolve core backend services for a large-scale, AI-driven SaaS platform. Drive AI-assisted development adoption, build algorithmic components, design scalable distributed systems, contribute to architecture, and lead testing and observability efforts.

As Senior AI Product Manager, lead vision and strategy for monday vibe, drive innovation in AI app creation, and collaborate across teams to deliver impactful features.

The Full Stack Data Scientist will leverage generative AI to create developer tools, lead AI research from data preparation to production, optimize LLM-based systems, and collaborate on AI best practices.

Design, develop, and manage scalable BI solutions, collaborate with data professionals, ensure data integrity, and optimize SQL queries.

The role involves architecting AI verification methodologies, developing AI tools for formal verification, and collaborating with CAD teams to enhance automation workflows.

The Senior Product Manager will oversee the strategy and development of AI-driven autonomous agents, focusing on UX, technical orchestration, and performance evaluation.

The role involves managing the AI platform roadmap, defining reusable AI capabilities, collaborating with engineering, and shaping AI standards within the product ecosystem.

The Backend AI Engineer will design and implement scalable backend services integrating AI technologies into travel products, ensuring performance and collaboration with teams.

The AI Infrastructure & Reliability Engineer will manage cloud infrastructure, CI/CD processes, observability practices, and AI operations to ensure platform reliability and performance.

Lead the transition to a self-hosted LLM ecosystem, optimizing model inference, developing agentic workflows, and executing fine-tuning strategies for chatbot enhancement.

Build IDE experiences integrating AI tools, work on prompt optimization and agent tools, and prototype innovative UIs for Datadog's development environment.

The Senior Product Manager will oversee the monetization infrastructure, guiding its strategy, development, and implementation to support AI-driven subscription services.

In this role, you will design and build systems transforming data into insights, develop full-stack products, integrate AI agents, and lead technical decisions.

As Senior AI Product Manager at monday.com, you will define the product vision for AI-driven platforms, drive innovation, lead cross-functional teams, and ensure successful adoption of AI tools while partnering with various stakeholders.

As an Engineering Tech Lead in the AI R&D group, you will lead technical architecture, manage team operations, and develop features for a scalable platform using generative AI and LLMs.

Lead the development of AI-driven developer tools at monday.com, collaborating with stakeholders, optimizing productivity, and enhancing developer experience.

The AI Lead will drive AI initiatives within the customer organization, translating strategy into execution, managing projects, and analyzing performance metrics.

The Lead Product Manager will own the vision and roadmap for developer tools and AI infrastructure, drive adoption, lead cross-team initiatives and define AI-powered workflows to enhance developer experiences.

Join Redis as a Software Engineer to develop and optimize vector and search capabilities, focusing on performance, reliability, and collaboration with multi-functional teams.

The AI SW Development Engineer will design, develop, and maintain real-time software stacks, optimize performance, and collaborate with teams on software specifications.

The Staff Backend Engineer will lead the development of a platform for AI models, focusing on architecture, scalability, and collaboration with research and application teams.

Design and build secure, scalable services for AI agents to manage identities, secrets, and access. Lead agent authentication, real-time access policies, and collaborate across platform, AI, and security teams to deliver production-grade, audited systems.

As a Senior AI Networking Application Engineer at NVIDIA, you will support supercomputers, resolve customer issues, and collaborate with R&D teams.

Design and develop secure services that enable AI agents to manage identities and access. Lead authentication flows and collaborate with teams.