AI Engineer jobs in Petah Tikva
Our Mission At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place. Who We Are In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us! We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes. Job Summary Your Career: As a Senior Staff AI Software Engineer on our Generative AI foundation team, you will build AI agents and shared infrastructure that power GenAI capabilities across the company. You will be involved in the full software lifecycle, from fast-moving prototypes to production-grade systems, enabling CyberArk’s product lines to adopt agentic workflows safely and at scale. You will collaborate with product managers, researchers, and engineers to translate ideas into robust services, bringing a pragmatic mindset to experimentation, iteration, and operational excellence. Your Impact: • • Engage in the full software lifecycle, from fast-moving prototypes and POCs to production-grade, observable systems. • Collaborate with product managers, researchers, and engineers to translate ideas into robust services. • Work hands-on with leading LLMs and the modern agentic ecosystem, leveraging a wide range of AWS services. • Use cutting-edge frameworks and techniques to develop, evaluate, and continuously improve solutions. • Implement solid design, flexible implementation, strong telemetry, and production feedback loops. Qualifications Your Experience: • • Bachelor’s degree in computer science or an engineering-related field. • 4+ years of experience in software development. • Experience with cloud infrastructure (e.g., AWS, GCP, Azure). • Proven experience as a Python developer. • Meaningful experience developing AI products with LLMs, including solution architecture, development and prompt engineering. • Attention to detail, ability to multitask, and strong interpersonal skills. Preferred Qualifications • • Specific experience with AWS. • Experience with the Agentic AI architecture, MCP, and A2A. • Experience in enterprise-scale application development in a SaaS environment. Our Commitment We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at [email protected]. Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines. Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.
Our Mission At Palo Alto Networks®, we’re united by a shared mission—to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you’re ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you’re in the right place. Who We Are In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us! We believe collaboration thrives in person. That’s why most of our teams work from the office full time, with flexibility when it’s needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes. Job Summary Your Career: As a Principal AI Software Engineer on our Generative AI foundation team, you will build AI agents and shared infrastructure that power GenAI capabilities across the company. You will be involved in the full software lifecycle, from fast-moving prototypes to production-grade systems, enabling CyberArk’s product lines to adopt agentic workflows safely and at scale. You will collaborate with product managers, researchers, and engineers to translate ideas into robust services, bringing a pragmatic mindset to experimentation, iteration, and operational excellence. Your Impact: • Engage in the full software lifecycle, from fast-moving prototypes and POCs to production-grade, observable systems. • Collaborate with product managers, researchers, and engineers to translate ideas into robust services. • Work hands-on with leading LLMs and the modern agentic ecosystem, leveraging a wide range of AWS services. • Use cutting-edge frameworks and techniques to develop, evaluate, and continuously improve solutions. • Implement solid design, flexible implementation, strong telemetry, and production feedback loops. Qualifications Your Experience: • Bachelor’s degree in computer science or an engineering-related field. • 8+ years of experience in software development. • Experience with cloud infrastructure (e.g., AWS, GCP, Azure). • Proven experience as a Python developer. • Meaningful experience developing AI products with LLMs, including solution architecture, development and prompt engineering. • Attention to detail, ability to multitask, and strong interpersonal skills. Preferred Qualifications • Specific experience with AWS. • Experience with the Agentic AI architecture, MCP, and A2A. • Experience in enterprise-scale application development in a SaaS environment. Our Commitment We’re trailblazers that dream big, take risks, and challenge cybersecurity’s status quo. It’s simple: we can’t accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at [email protected]. Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines. Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.
Description Company Overview: Cellebrite’s (Nasdaq: CLBT) mission is to enable its global customers to protect and save lives by enhancing digital investigations and intelligence gathering to accelerate justice in communities around the world. Cellebrite’s AI-powered Digital Investigation Platform enables customers to lawfully access, collect, analyze and share digital evidence in legally sanctioned investigations while preserving data privacy. Thousands of public safety organizations, intelligence agencies and businesses rely on Cellebrite’s digital forensic and investigative solutions—available via cloud, on-premises and hybrid deployments—to close cases faster and safeguard communities. To learn more, visit us at www.cellebrite.com, https://investors.cellebrite.com/investors and find us on social media @Cellebrite. Position Overview: Join Cellebrite’s Forensic Research Group and take part in uncovering hidden data across mobile applications and cloud ecosystems. The team identifies, analyzes, and extracts forensic artifacts from mobile apps, APIs, cloud services, and raw binary data. The team specializes in black-box reverse engineering and advanced mobile analysis across Android and iOS. As an AI Engineer, you'll work hands-on with leading LLMs and the broader agentic ecosystem, applying cutting-edge frameworks and techniques to build, evaluate, and iterate on solutions. Your work will span the entire software lifecycle — from rapid prototypes and POCs to production-grade systems. Implement solid design, flexible implementation, strong telemetry, and production feedback loops. Your responsibilities will be: • Design and maintain a LangGraph-based Agent Harness optimized for online and offline/on-premise deployment, using hybrid LLM and deterministic layers to balance speed, memory, and costs. • Own the complete evaluation lifecycle, including datasets, benchmarking frameworks, and automated regression testing to ensure output accuracy. • Standardize tool-calling interfaces for forensic engines and collaborate with researchers to operationalize AI models into Cellebrite’s products. Requirements • Bachelor’s degree in computer science or an engineering-related field. • 6+ years of experience in software development. • Proven experience as a Python developer. • Experience with Agent Orchestration Framework (like LangGraph) • Experience with the Agentic AI architecture, MCP, and A2A. • Solid understanding of RAG pipelines, vector databases, embeddings, and retrieval techniques (chunking, indexing, filtering, relevance tuning) • Experience with AI evaluation frameworks, prompt testing, or offline/online quality measurement • Attention to detail, ability to multitask, and strong interpersonal skills. Preferred: • Experience in enterprise-scale application development in a SaaS environment. • Strong observability design across infrastructure and AI workloads (metrics, logging, tracing, AI quality signals) • Experience with an OOP language #LI-AS1
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