AI Engineering jobs in Israel

Join a software engineering services company as an independent Applied AI Engineer. Own the design, development, deployment, and ongoing improvement of LLM-, RAG-, and agent-based systems for business processes within client organizations. The role involves direct stakeholder engagement, hands-on AI

A highly technical AI startup is hiring a Staff Backend Engineer to build an enterprise platform that uses AI agents to automate complex workflows across business systems. The role focuses on scalable backend architecture, distributed systems, AI agents, and production infrastructure.

Join a team building production-grade AI systems for customs inspection and fraud detection. You will design end-to-end workflows combining LLMs, computer vision, documents, text, and structured data.

Build production-ready software features while using generative AI tools to accelerate development, debugging, research, and daily engineering workflows. Work in a hybrid environment with product managers, designers, and engineers across frontend, backend, and data teams.

Join an AI and innovation team to prototype interactive web games and experiences using AI-assisted development tools, creative coding, and real-time web technologies.

Lead and develop an AI software engineering team while contributing hands-on to AI, Generative AI, and LLM-based solutions integrated into software products.

Build and operate production-scale AI agents that understand software codebases and support code review, debugging, and delivery workflows.

Develop and improve AI, computer vision, and image-processing algorithms for a medical imaging product. Own work from data definition and implementation through validation, integration, deployment, and maintenance.

Build and operate production AI agent systems that investigate vulnerabilities, generate and validate code fixes, and automate security remediation for software teams.

Join an early-stage, venture-backed company in Tel Aviv building production-grade AI systems that interpret context, make decisions, and execute complex workflows across real-world environments. This in-office founding-team role offers significant ownership across product and architecture.