Top Artificial Intelligence Jobs in Israel

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

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

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.

The Senior Product Manager at JFrog leads documentation strategy and AI optimization, enhancing user experience and driving product adoption.

The Senior Analytics Engineer will design and build the analytics platform, focusing on automation, scalable data models, and optimizing analytics workflows while collaborating with analysts and stakeholders.

The Generative AI Engineer will design AI architecture, build production features, lead prompt design, collaborate with teams, and stay updated with the GenAI ecosystem.

This role involves managing HR, legal, finance, and compliance operations, ensuring all internal processes align with certification requirements, and collaborating with co-founders and management on various projects.

Develop data and AI pipelines for large-scale data processing, optimize model performance, and collaborate on AI-driven security solutions.

The Senior Data & AI Engineer will design and scale data pipelines, backend services, and LLM-powered systems while enhancing cybersecurity through AI-driven insights.

As an AI Solutions Engineer, you'll onboard enterprise customers, benchmark model performance, and support technical demos and integrations.