Вакансии: AI Engineering — Israel

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.

Lead the architecture, development, and delivery of scalable cloud data platforms and AI-powered agentic solutions. Own technical direction, production releases, delivery timelines, and engineering team execution. The role is based in Ramat Gan, Israel, and is full-time.

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.

Join a Data & AI team to build production-ready internal AI products that automate business processes and create measurable operational value. Partner with stakeholders to identify opportunities, translate requirements into technical solutions, and deliver end-to-end AI products.

Develop high-performance DSP software and optimized vector-processing kernels for wireless communications and AI workloads. Build low-level embedded software focused on performance, accuracy, and real-time constraints.

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 software and machine learning infrastructure for large-scale search products, with a focus on specialized ML solutions, model optimization, and data processing.