Вакансии: AI Engineering — Israel

Join a system architecture team to design, build, and improve AI-powered workflows, agents, and internal tools for software architecture and engineering. The role focuses on turning practical team needs into measurable AI-assisted solutions across design, modeling, documentation, decision-making, SD

Build and own production LLM agents, automation pipelines, integrations, and internal AI infrastructure for a security platform. Translate ambiguous business needs into reliable technical solutions, improve production performance, and drive adoption across the organization.

Join an enterprise data science team building and operating production-grade machine learning and LLM systems. Own scalable model serving, MLOps and LLMOps standards, evaluation, observability, experimentation environments, and the cloud foundations supporting AI applications.

Join an AI infrastructure team developing and optimizing high-performance inference frameworks for large language models running on GPUs.

Join a lean, founder-led engineering team building production AI systems for cybersecurity environments. You will develop autonomous agent infrastructure, integrate tools and target environments, and take systems from prototype through deployment and operation. The role is on-site in Tel Aviv and is

Join a cybersecurity technology team developing production-grade generative AI applications and agentic systems. You will build reliable, secure, scalable, and observable AI services, and help turn research prototypes into containerized cloud applications.

Lead the design and implementation of scalable generative AI solutions for global client projects, using Python, LLMs, retrieval-augmented generation, agent frameworks, and managed cloud services.

Join an AI engineering team building reusable AI capabilities, agent infrastructure, evaluation systems, guardrails, and RAG solutions for internal and customer-facing products. The role is based in Tel Aviv with a hybrid work model.

Lead the technical vision, architecture, and implementation of production-grade agentic AI platforms and enterprise systems. This role combines technical leadership with hands-on development, ecosystem engagement, and global representation.

A principal-level hands-on engineer will lead 0-to-1 product initiatives, translating advanced AI and security capabilities into customer-ready products. The role combines architecture, coding, technical client leadership, and product strategy within a dedicated product pod.