Вакансии: AI Engineering — Израиль

Join an AI engineering team in Tel Aviv to design foundational platform capabilities, production-grade agentic systems, and shared AI services for multiple products and engineering teams.

Build and operate production-grade AI agents and scalable Python backend systems for an AI-driven cybersecurity platform. Develop reliable systems that combine LLMs, reasoning workflows, orchestration, evaluations, and distributed infrastructure.

Build and evolve infrastructure for benchmarking, evaluating, and deploying foundation and multimodal AI models. Partner with AI and data science teams to support rigorous, reproducible model development in a hybrid Ramat Gan role.

Join a multidisciplinary algorithm team developing guidance, control, estimation, and simulation algorithms for advanced defense systems and real-time operational decision-making.

Join an enterprise GenAI team developing scalable AI platforms and production-grade solutions that support productivity, insights, decision-making, and organization-wide AI adoption. The role combines hands-on engineering, technical leadership, cross-functional collaboration, and delivery ownership.

Develop scalable GenAI applications and LLM solutions using Python, backend frameworks, LangChain, retrieval-augmented generation, and vector databases. This is a full-time hybrid role based in Tel Aviv.

Build reliable internal AI platforms, developer tooling, agentic workflows, and AI-powered infrastructure for engineering teams. The role combines hands-on software development, cloud infrastructure, DevOps, applied AI, observability, and security governance.

Partner with enterprise clients to design, build, and deploy production-grade AI solutions. Develop LLM, RAG, agentic, API, and cloud-native systems while leading technical discovery and solution delivery.

Lead the technical direction of an AI platform within a global HR software company. Design reliable, scalable AI infrastructure and agentic systems while helping multiple engineering teams deliver production-ready AI experiences.

Develop AI-powered tools, workflows, and infrastructure that improve the delivery, quality, and scale of security integrations and content for security operations platforms.