Вакансии: AI Engineering — Israel

Join an advanced technology organization developing autonomous AI agents and multi-agent systems. The role covers research, architecture, software development, and integrating agent-based capabilities into production systems delivered to customers.

Build enterprise-scale security solutions for GenAI and copilots, scalable big-data pipelines, and cloud services in a collaborative, high-growth engineering environment.

Join an AI engineering team building infrastructure and capabilities that let users create and modify websites through AI. Own complex features from research and design through deployment while collaborating across engineering, product, and UX teams.

Lead a hands-on software team building the systems, tooling, and production components that support healthcare AI models throughout their lifecycle. Shape technical direction, guide execution, and collaborate with researchers, algorithm engineers, product, and engineering teams.

Build, productize, and deploy AI-powered products, MVPs, reusable assets, and new ventures for regulated and mission-critical sectors. Translate ambiguous client challenges into tested, scalable solutions and advise senior stakeholders on AI strategy and architecture.

Develop autonomous AI agents, advanced prompts, and intelligent automation workflows for business and operational processes. The role is hands-on and includes information analysis and enterprise systems integration.

Design and deploy production AI systems for a cybersecurity platform, applying LLMs, machine learning, and unstructured security data to intelligent detection and response.

Own the internal AI platform used by teams across the company to build and operate secure, scalable AI-powered tools. This hands-on Staff-level role combines platform architecture, production engineering, roadmap ownership, and cross-functional technical leadership.

Join a consumer technology R&D team in Tel Aviv to research, develop, and deploy state-of-the-art multimodal, vision-language, and generative AI models across multiple product lines.

Build production-grade agentic AI systems that optimize GPU compute kernels, analyze simulation and profiling data, and accelerate GPU hardware-software co-design.