Top Artificial Intelligence Jobs in Jerusalem

Design, build and maintain backend infrastructure for AI-driven features, ensuring performance and scalability while mentoring developers and driving engineering excellence.

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

The role involves managing and optimizing AI chatbots and knowledge management systems, improving customer experience through data-driven insights and automation.

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

Design and build agentic systems for Chaos AI, focusing on LLM integration, performance optimization, and mentoring engineers.

As an AI Product Manager, you will lead the integration of generative media, speech AI, and LLM technologies into a cohesive, real-time conversational product. Responsibilities include strategic collaboration, optimizing product vision, advancing video tech, and ensuring AI accuracy.

Create video content using AI tools, edit footage, collaborate on storyboards, and generate audio elements for a casual game.

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.

This role involves designing and deploying LLM-powered applications in healthcare, emphasizing data integration workflows, compliance, and collaboration with cross-functional teams.

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

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

QuantHealth seeks a Senior Back End Engineer to develop a multi-service backend architecture and support agentic AI systems, focusing on API design and infrastructure for AI workflows.

The Ecosystem Growth Manager will drive the growth of AIVM through securing GPU providers, AI developers, and enterprise partnerships while ensuring seamless onboarding and integration processes.

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.