Top Artificial Intelligence Jobs in Israel

Develop a CUDA-powered digital twin for large-scale AI datacenter network simulations; collaborate with engineers and researchers to design, integrate, and deploy advanced network solutions and explore new technologies to improve network capabilities.

Lead the AI Platform development team and own architecture for a scalable, cloud-based AI cybersecurity platform. Build AI agents, skills, MCPs, plugins, and infrastructure supporting agentic development, while improving developer experience, quality, security, performance, and delivery velocity. Mentor and hire engineers, establish best practices, manage the platform roadmap, lead Agile projects, and collaborate with development and DevOps teams on high-scale, low-latency systems.

The Software Engineer will develop and maintain observability products, solve complex problems in cloud environments, and collaborate on AI integration.

Join an SRE team to build and maintain scalable, reliable infrastructure. Develop automation, CI/CD and IaC, monitor performance and KPIs, run incident response and postmortems, and improve observability using logging, tracing, and metrics.

Work on LLMs and agentic AI within Cellebrite's Forensic Research Group to design, prototype, and productionize AI systems. Build and evaluate RAG pipelines, vector search, agent orchestration, and AI evaluation; implement observability and production feedback loops for forensic analysis across mobile and cloud data sources.

Develop AI agents to automate document processing and optimize human tasks, partnering with teams to identify automation opportunities and conducting extensive testing of AI systems.

The Senior AI Engineer will develop and scale AI solutions, focusing on LLMs, document intelligence, and prototyping, while collaborating across teams to enhance workforce management solutions.

Design, implement and optimize an NPU (Neural Network Processor) simulator in C/C++ (OOP), collaborating with architecture, algorithms, systems and hardware teams to enable efficient execution of advanced AI networks for edge devices. Analyze and improve simulator performance and accuracy across Ceva processor architectures.

Own customer-facing AI and CRM solutions, translate business needs into AI agents and automated workflows, lead implementations, coordinate with development teams, and improve internal processes using AI while managing customer relationships.

Lead end-to-end development of LLM-based applications and proprietary AI agents, build and maintain backend systems, collaborate with research and engineering, and deliver production-ready features.

Lead end-to-end product for an agentic natural-language-to-quantum-program experience: define roadmap, plugin/dev-tools integration, internal harness, eval metrics, user discovery, and cross-functional delivery sequencing.

Lead development of complex data pipelines and AI/ML systems, provide technical leadership and mentorship, design scalable architectures, write and review code, and collaborate across teams to deploy production-grade solutions involving LLMs and data engineering.

Build agentic AI systems for enterprise workflows within Island’s enterprise browser. Develop intelligent systems capable of reasoning, planning, and executing tasks, while contributing across modern frontend and backend technologies. The role requires cloud platform experience, strong fullstack engineering skills, collaboration in a fast-paced environment, and enthusiasm for applying cutting-edge AI to improve enterprise productivity.

Lead client engagements involving AI, digital transformation, innovation, and organizational change. Responsibilities include advising senior stakeholders, conducting discovery workshops and business assessments, developing transformation roadmaps and operating models, managing client relationships, facilitating executive discussions, supporting proposals and business development, and coordinating with technology delivery teams to drive adoption and successful implementation.

Own monitoring, evaluation, and continuous improvement of the Support bot. Define KPIs, review bot responses for quality gaps, analyze technical and business impact, collaborate with Support teams, identify trends and actionable improvements, and support the bot's evolution within Support workflows.

Lead direct sales to government ministries, defense and public safety agencies in Israel. Develop territory strategy, manage complex procurements and tenders, collaborate with engineering to map solutions, cultivate executive relationships, and drive end-to-end pipeline to exceed revenue targets.

Build and deploy production-grade LLM applications, RAG systems, agentic workflows, and internal AI tools. Evaluate foundation models, develop tool-using and multi-agent systems, improve reliability and reduce hallucinations, and establish evaluation methodologies for quality and safety. Collaborate with algorithms, mapping, software, and research teams to transition prototypes into scalable products.

Design and build production-grade autonomous agentic systems for supply chain problems. Architect multi-agent workflows, integrate ML/ deep learning models, evaluate agent performance, and collaborate with engineering and product teams to productize, monitor, and iterate agent pipelines.

Architect and define next-generation Spectrum-X, InfiniBand and NVLink system/software architectures. Research and run POCs, evaluate SW/HW impact across layers from algorithms to firmware, and collaborate with VLSI, system software, firmware, and research teams to deliver high-performance ML/AI interconnect solutions.

As a Product Builder, you will own product areas end-to-end, prototype user-centered features, collaborate with design and engineering, and analyze post-launch performance to drive improvements.

Build and maintain end-to-end real-time voice AI systems: frontend in React+TypeScript, FastAPI Python backends, Python microservices (transcription, call analysis), integrate LLMs and STT/TTS, design telephony/SIP infrastructure, ensure scalable architecture, testing, and high code quality.

You will contribute to the Cyera codebase as part of a product team, building AI agents and workflows, and collaborating with various teams to deliver secure solutions.

This role involves engaging with customers post-sale to implement AI solutions, configure workflows, deploy systems, and ensure customer success throughout the lifecycle.

Lead end-to-end data and automation solutions for Clinical Research: intake, business case development, design, build, validation, deployment and lifecycle management of ETL pipelines, dashboards, workflow automation and AI-assisted processes. Ensure compliance (ICH GCP), measure impact via KPIs, manage stakeholders and change, and scale reusable solutions across countries and region.

Lead architecture and integration of RISC-V-based compute clusters and vector engines for AI acceleration. Define ISA extensions, interconnects, memory hierarchies, scheduling, and cache utilization; collaborate with compiler, ML runtime, RTL, verification, and firmware teams; evaluate performance/power trade-offs; and specify debug, trace, and performance-monitoring features to deliver scalable, power-efficient AI SoC compute subsystems.