AI Engineering jobs in Israel

Technical leadership role responsible for company-wide AI infrastructure, secure AI adoption, agentic development practices, and engineering workflow improvement. The role leads a small team of 2–5 engineers while remaining primarily hands-on and reports to the Agentic business unit owner.

Build and scale the compute, data, and deployment infrastructure supporting AI training and inference workloads. The role covers GPU clusters, ML pipelines, production operations, and collaboration with research and product engineering teams. Hybrid work is based in Tel Aviv.

Join a growing financial planning and analysis SaaS company as a senior engineer responsible for delivering production-ready product features. Work closely with Product and use AI coding agents throughout development while contributing across backend, frontend, QA, infrastructure, and integrations.

A dynamic organization is seeking an AI Engineer to build end-to-end services and infrastructure, modernize legacy systems, and integrate advanced AI technologies into organizational processes. The role is based in Petah Tikva with two work-from-home days per week.

Lead the architecture and hands-on delivery of production AI systems for cellular networks. The role covers agentic AI, machine learning, LLM applications, RAG, model serving, evaluation, and MLOps, while providing technical direction and mentoring from a site in Kfar Saba, Israel.

Build production-grade AI and knowledge infrastructure for enterprise software, combining information retrieval, RAG, code intelligence, data ingestion, and secure multi-tenant systems.

Join a software company building production systems for enterprise operations. You will work directly with customer teams to uncover operational problems, design technical solutions, and build, deploy, and support AI-enabled software in live environments.

Join an insurance and financial services organization building production-grade AI solutions for business, operational, and digital teams. The role focuses on hands-on development of agentic systems, LLM-based applications, and RAG solutions integrated into core organizational processes.

Lead an AI engineering team and shape enterprise AI capabilities, including Generative AI, AI agents, RAG solutions, intelligent automation, and agentic workflows.

Own the design, development, and operation of a multi-agent AI platform and enterprise web application for pharmaceutical and medical technology commercial teams. Build capabilities across agent orchestration, voice and multimodal workflows, backend and frontend services, data pipelines, and secure,