Top Artificial Intelligence Jobs in Israel

Lead end-to-end product design for an AI voice-agent platform: research, explore, and ship agent experiences. Bridge voice conversations and UI for configuration, review, handoff, and reporting. Use coding agents to move designs to production, partner with Product and Engineering, validate through research and metrics, and raise design craft across the team.

Design and develop production-grade generative AI applications and agentic systems. Build secure, scalable, observable AI services using Python, Docker, and cloud technologies, while applying testing, evaluation, CI/CD, and troubleshooting best practices. Collaborate with researchers to transform prototypes into reliable containerized cloud applications. Contribute to technical innovation, product development, and engineering standards across GenAI solutions.

Research and develop machine-learning-based physical-layer algorithms for 5G and future wireless products. Design, train, optimize, and benchmark neural networks for channel estimation, signal detection, beamforming, and decoding, targeting real-time embedded deployment. Responsibilities span research, simulation, Python/PyTorch/TensorFlow and MATLAB prototyping, specification, implementation support, integration, and customer release. The role evaluates ML approaches against traditional DSP methods for accuracy, latency, computational cost, and system performance.

Principal-level hands-on engineer embedded in a product pod to drive 0-to-1 innovation. Responsibilities include architecting, coding, and launching greenfield products; creating demos and proofs of concept; leading high-stakes technical client discussions; shaping roadmaps and integration specifications; identifying automation opportunities; and resolving critical engineering bottlenecks. The role requires exceptional system design, modern AI expertise, commercial judgment, client presence, autonomy, and experience shipping complex software from scratch.

Lead and manage all global legal and compliance functions, advising executives on commercial, M&A, contracts, AI/privacy, and regulatory risk. Oversee legal governance, statutory filings, policies, and a global legal team while supporting growth, partnerships, and cross-border operations.

Own the end-to-end architecture of Kaltura’s agentic platform, integrating speech recognition, retrieval, planning, tool calling, speech synthesis, avatar rendering, and video systems. Establish platform standards, interfaces, governance, latency and cost budgets, privacy models, observability, and capability integration strategies. Prototype solutions, evaluate architectural options, and partner with research, engineering, product, executives, and customers to deliver scalable, reliable, multi-tenant production systems.

Build the shared platform layer for Kaltura’s agentic AI systems, including orchestration, skills registries, evaluation, tracing, guardrails, memory, retrieval, and integration gateways. Develop production backend services in Python supporting real-time and offline video runtimes. Design scalable, multi-tenant platform primitives, integrate LLM and RAG infrastructure, optimize for latency, and improve reliability, observability, safety, and customer extensibility.

Design and build scalable, secure cloud platform infrastructure for AI-driven SaaS cybersecurity products. Responsibilities include developing microservices, enabling CI/CD and DevOps processes, improving performance and reliability, collaborating across engineering teams, establishing backend engineering best practices, reviewing designs, mentoring engineers, and leading Agile projects involving high-scale, low-latency systems.

Develop and productionize ML/AI models for sensitive data classification and insights. Own end-to-end lifecycle from problem framing, data strategy, model development, evaluation, deployment, and monitoring. Build deep learning and NLP solutions, agentic workflows, and rigorous evaluation pipelines for scalable, production-ready systems.

Own and evolve production-grade full-stack AI platform products end to end, including UX/UI, frontend, backend, APIs, data models, integrations, deployment, and operations. Lead adoption of agent-led development by evaluating models, coding agents, orchestration, tool use, and context management. Drive architecture, reliability, security, authorization, troubleshooting, and technical leadership while translating complex needs into practical user experiences.

Own Pentera’s internal AI transformation strategy and build production AI agents, context layers, retrieval systems, action tools, and evaluation and safety infrastructure. Set architecture, model, vendor, ROI, security, and quality standards while partnering with business teams to scale successful workflows. Mentor AI Champions, advise leadership, and establish reusable internal AI platform patterns.

Leads the design, development, deployment, and scaling of generative AI platforms and systems. Responsibilities include building Python-based microservices, applying LLM, RAG, fine-tuning, and inference techniques, designing secure APIs, implementing DevOps practices, collaborating with product and business teams, solving complex technical problems, and mentoring engineers.

Develop and automate application security tooling, workflows, and AI security agents. Conduct secure code reviews, manage vulnerabilities, promote secure coding standards, and integrate security into R&D and DevOps processes. Build capabilities for detecting malicious activity, triaging alerts, and investigating incidents. The role also includes documenting security product requirements and securing LLM-based and agentic applications across cloud-native environments.

Build and deploy AI-powered tools, autonomous agents, data pipelines, and workflow automations for Sales and Marketing teams. Translate go-to-market strategies into production-grade internal systems, integrate modern APIs and platforms, and improve revenue operations efficiency. Partner with Finance, Sales, and Marketing stakeholders to ensure solutions are secure, scalable, measurable, and deliver strong conversion and productivity gains.

Lead the vision, roadmap, and architecture of AI-driven data-center networking solutions, including LLM troubleshooting, predictive resiliency, AIOps, optimization, and performance tuning. Collaborate with engineering, reliability, research, product, architecture, and data teams to integrate AI into networking systems and workflows. Identify opportunities for automated failure management, troubleshooting, resource optimization, and performance improvement while translating system behavior and operational constraints into research problems.

Own cloud features end to end, including architecture, backend services, React interfaces, database design, testing, CI/CD deployment, monitoring, troubleshooting, and production support. Use AI coding tools such as Claude Code, Cursor, and GitHub Copilot to accelerate development. Collaborate with Product and UX teams to deliver scalable, reliable customer experiences on public cloud platforms.

Create and prototype interactive web games and experiences using AI-assisted development tools. Translate creative ideas into polished gameplay, visuals, animation, effects, and interactions while experimenting with AI, creative coding, and real-time web technologies. Collaborate with artists, designers, and developers to improve game feel, visual quality, and polish.

Join Welo Data’s global contributor network for flexible, remote AI projects involving text, image, and audio annotation; search, advertisement, and chatbot evaluation; prompt creation; and cultural and linguistic quality review. Projects vary from several days to weeks, with scope, timelines, and compensation provided before each assignment. Native or near-native Hebrew, English proficiency, digital tool comfort, and strong attention to detail are required.

Develop and optimize high-performance real-time digital processing software for 4G baseband modems and carrier-grade cellular PHY systems. Responsibilities include debugging, root-cause analysis, module integration, product bring-up, software architecture, testing, and applying agentic development and LLM-based workflows. The role requires strong C++ and Python skills, object-oriented design, CI/CD, Git, and Agile practices, with preferred experience in Arm, SIMD, Kubernetes, MATLAB, and 4G/5G standards.

Own AI deployment methodologies, standards, governance, and best practices across the organization. Guide teams designing and implementing AI solutions, coordinate cross-functional stakeholders, support project execution, manage risks and dependencies, and develop playbooks, architectures, templates, training, and knowledge-sharing programs. Ensure AI implementations are consistent, scalable, reliable, and production-ready while enabling teams to apply modern approaches including RAG, prompting, agents, and guardrails.

Leads PHY and RF system engineering for next-generation Open RAN base stations. Responsibilities include defining system requirements, optimizing PHY algorithms, integrating PHY components with hardware, software, and DSP subsystems, building automation and testing tools, using AI-assisted development workflows, conducting lab validation, and mentoring junior engineers.

Lead the architecture, development, optimization, testing, and production support of LTE Layer 1 PHY software for carrier-grade Open RAN systems. Drive real-time performance, debugging, and technical roadmaps while mentoring engineers and collaborating across MAC, systems, integration, QA, and product teams. Apply agentic software development and LLM-based workflows to accelerate engineering delivery.

Develop, validate, integrate, and maintain AI, computer vision, and image-processing algorithms for a medical imaging device. Responsibilities include dataset design, model evaluation, classification, segmentation, 3D modeling, performance optimization, production debugging, and collaboration with software and biomedical engineering teams. The role also involves researching emerging academic methods and leading algorithm projects from concept through deployment.

Own end-to-end consumer growth, including acquisition, onboarding, retention, funnel optimization, and rapid experimentation. Build AI-powered automations, pipelines, landing pages, interactive experiences, sub-products, and custom workflows using modern AI builder tools. Analyze conversion data, make fast decisions, lead cross-functional initiatives, and potentially manage junior growth builders or a future growth team.

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.