Empleos de AI Engineering en Israel

Join a client team to turn an AI product concept into a working MVP. Shape its architecture and technical direction across LLMs, autonomous agents, backend engineering, and distributed systems.

Develop and improve the interaction layer between organizational AI solutions, language models, and enterprise knowledge. The role combines prompt engineering, context management, RAG, conversational design, and evaluation with hands-on full-stack development of AI components and supporting tools.

Lead the adoption of AI across products and software development practices. Partner with development managers, architects, and product teams to identify opportunities, design solutions, and deliver them to production.

Develop AI agents and machine-learning components for endpoint security, threat detection, and automated analysis of security events.

Build and ship AI agents, workflows, and prototypes that help teams across a cybersecurity company work more effectively. Partner with senior leaders and teams to find high-impact opportunities, validate ideas quickly, and turn successful experiments into adopted tools.

Lead and mentor an AI engineering team while remaining hands-on in developing an enterprise agentic AI platform. Own agent workflows from design and evaluation through production deployment and iteration.

Join an early-stage startup building an AI platform for hardware development. Develop its core AI technology and SaaS platform, shape technical and product direction, and help build the engineering team.

Join an R&D team building production-grade AI features and scalable web applications for a digital securities-lending platform. Own work from architecture and experimentation through deployment and ongoing improvement.

Develop and optimize prompts, RAG workflows, and end-to-end AI solutions, from prototypes to production. Build backend services and internal interfaces, and evaluate model outputs in collaboration with technical and business stakeholders.

Develop, deploy, and operate AI solutions and automations across business units and manufacturing operations. Build internal tools from prototype through production, run enterprise AI platforms and integrations, measure initiative outcomes, and support employee adoption.