Вакансии: AI Engineering — Israel

Build and operate AI-integrated data systems, backend services, and production capabilities for an AI-native predictive analytics platform. Own solutions from architecture and implementation through deployment, monitoring, cost management, and business impact.

Build and optimize high-performance inference infrastructure for large language models running on GPUs. Improve throughput, latency, memory efficiency, and scalability across modern model runtimes.

Lead end-to-end AI algorithm research and development for healthcare and medical imaging solutions. Combine hands-on technical work with project leadership, mentoring, and cross-functional decision-making.

Join a core engineering team in Tel Aviv and define the technical foundations of an enterprise AI platform. Own architecture from early design through production while working across customer and product decisions.

Join a consumer intelligence company developing cloud-based analytics and personalization solutions for retailers. Build AI-powered applications, autonomous agents, and production-grade Python services.

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.

Join an information systems team building production AI agents and intelligent workflows for internal business process automation. The role covers solution design, coding, prototyping, deployment, governance, and stakeholder collaboration.

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.

Own the standards and infrastructure for production AI agents across platform engineering, evaluation, observability, cost control, and company-wide enablement. This is a hands-on lead role without direct reports.

Build and deploy AI-powered internal tools and agentic workflows that improve software development processes. Integrate LLM capabilities into developer platforms and create new AI solutions for engineering bottlenecks.