Top Artificial Intelligence Jobs in Israel

Key contributor to AI Graph Compiler design for NPUs, optimizing performance under constraints, collaborating on HW-SW co-design, and mentoring junior engineers.

The Senior AI Engineer at Dream will develop AI systems for cybersecurity, focusing on building and optimizing LLM-based solutions and collaborating with teams to address customer needs.

The AI Software Engineer will optimize computer vision pipelines for edge systems, ensuring performance and reliability while processing real-time maritime video streams.

The role involves designing advanced AI models for cybersecurity solutions, leading research initiatives, and mentoring data scientists, focusing on LLMs and scalable systems.

The AI Researcher will design, train, and deploy advanced neural network models for robotics applications, collaborating with cross-functional teams to integrate models into physical robots, focusing on machine learning lifecycle management.

Develop and deploy real-time predictive driving models from research to production. Design VLA models, optimize models for edge automotive platforms, bridge cloud training and embedded inference, and integrate state-of-the-art techniques into the autonomy stack while collaborating across R&D teams.

Develop reasoning and planning models for physical systems using symbolic, probabilistic, or hybrid representations. Build systems to select experiments, update beliefs under uncertainty, and integrate domain knowledge and constraints. Collaborate closely with quantum control and calibration teams to apply AI to real-world quantum hardware.

Design and productionize hybrid AI systems for quantum hardware: build scalable experimental data pipelines, develop surrogate models with uncertainty estimates, optimize real-time/hardware-in-the-loop inference, and collaborate across hardware, software, and AI teams.

Design and productionize reasoning and decision-making systems connected to quantum hardware. Build scalable inference and planning infrastructure, optimize real-time and hardware-in-the-loop performance, collaborate with researchers, and ensure reliability, observability, and maintainability of deployed systems.

The AI Data Specialist will perform data-related tasks like collection, evaluation, and annotation to improve AI-generated content in Hebrew.

The Head of AI & Automation will lead MAËLYS' AI transformation by defining strategy, building AI solutions, and driving business impact across functions.

Design and build Gong's internal agentic framework and runtime, including orchestration, evaluation, observability, safety guardrails, SDKs/APIs, and cross-language integrations to enable production-grade AI agents at scale.

Lead AI-first transformation by owning ops problems end-to-end: scope, design, build, ship, and iterate AI agents, orchestration pipelines, human-in-the-loop workflows, and integrations to automate operations and drive adoption across teams.

Lead design and delivery of end-to-end Generative AI solutions. Build and maintain production-grade Python backend services, LLM-powered RAG and agent systems, drive architecture decisions, mentor engineers, and evaluate emerging AI frameworks.

Lead technical and operational programs for enterprise generative AI partners, translating customer requirements into cross-functional deliverables, driving program execution from design to production, coordinating global teams and ODM/OEMs, monitoring production and quality, and managing post-deployment sustaining support and customer relationships.

Build and own an internal AI-powered search platform end-to-end: design full-stack solutions (backend, frontend, databases), deploy scalable production systems using cloud and containers, collaborate with algorithm teams, and integrate vision and language models to improve autonomous-driving validation and testing.

The role involves conducting simulated cyber attacks, vulnerability assessments, risk analyses, and developing mitigation strategies for AI security technologies.

As a CBRN expert at Alice.io, you will evaluate and create prompts for Generative AI systems, ensuring their safety and accuracy in CBRN contexts. You'll provide expert feedback and stay updated with relevant research and regulations.

Lead the development of scalable backend services incorporating AI technologies, working closely with cross-functional teams while ensuring high-quality software delivery.

As an AI Engineer, you will develop scalable deep learning systems, manage AI lifecycle processes, and optimize models for humanoid robotics.

As a Senior Full-Stack Engineer, you will develop features from ideation to production, make tradeoff decisions, collaborate with teams, and deliver technical solutions that impact business outcomes.

Lead end-to-end development and architecture of Via's customer-facing Voice AI agent. Build scalable backend services powering real-time conversational interactions, integrate and deploy LLMs and AI providers, drive product initiatives, and mentor engineers to elevate technical craft and AI capabilities.

Design, develop, and scale backend platforms and AI-driven workflows. Build resilient distributed systems and microservices, integrate LLMs (AWS Bedrock), implement event-driven architectures and APIs, optimize databases, caching, and search, contribute to cloud infrastructure, CI/CD, observability, and provide technical leadership and mentoring.

Own and scale end-to-end user acquisition across paid channels using AI-driven research and automation. Develop and optimize campaigns, test growth opportunities, collaborate with product to improve conversion, and use data for fast performance decisions.

Design, build, and maintain end-to-end AI solutions that unify engineering data for analytics, agents, copilots, and workflow automation. Consolidate infrastructure data, build pipelines, APIs, monitoring, and tooling, partner with engineering teams to define use cases, deploy scalable production systems, and drive continuous improvement and adoption.