Top Artificial Intelligence Jobs in Jerusalem

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.

The AI Operations Engineer will automate workflows, build AI agents, and integrate tech solutions to improve operational efficiency in healthcare at Droxi.

As an AI Engineer, you'll design and build LLM-powered applications, develop agent workflows, and collaborate with teams to integrate AI systems into products.

As a Senior Software Engineer, you'll design and develop cloud-native Big Data systems, integrate AI/ML models, and collaborate across teams to enhance security solutions.

The AI Solutions Consultant will work closely with enterprise customers to implement AI-powered automation in procurement processes, through design and deployment of AI agents and integrations with existing systems.

The Senior Pricing Data & AI Manager leads the development of AI-driven pricing models, analyzes customer data for monetization opportunities, and collaborates across teams to improve revenue performance.

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

The engineer will optimize AI libraries and components for unique hardware, focusing on performance improvements in AI models and kernels.

The AI Compiler Engineer will develop the AI graph compiler and work on the software stack to optimize AI models for unique hardware architecture. Responsibilities include enhancing performance for AI models and contributing to related components in the software stack.

The Senior Backend AI Engineer will design and build Riverside's AI architecture, focusing on reliable multi-step AI workflows and system performance under load.

The AI Architect will lead AI architectural guidance, hands-on innovation, and establish best practices for AI development while ensuring compliance with regulations.

Design, develop, and deploy generative AI solutions for B2B SaaS products, guiding strategic integration and optimizing performance.

The Head of Product will lead product strategy and execution for AIVM, focusing on AI and blockchain integration, while managing a high-performance product team and ensuring alignment across engineering and marketing.

As an AI Backend Engineer, you will design and develop scalable backend services, integrate AI workflows, and ensure system architecture meets performance standards while collaborating with various teams.

The AI Adoption Engineer will enhance AI integration in non-R&D teams through use case discovery, tool development, enablement, and roadmap maintenance, ensuring effective adoption of AI solutions.

The role involves evaluating AI outputs, generating original content, reviewing texts, and ensuring cultural relevance. Candidates should have native fluency in Hebrew and a strong command of English, with attention to detail and the ability to follow guidelines.