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2 ימים
Location: Herzliya
Job Type: Full Time
At our company, we see the world of cybersecurity differently. Instead of chasing threats, we believe the most practical approach is protecting data from the inside out. Weve built the industrys first fully autonomous Data Security Platform to help our customers dramatically reduce risk with minimal human effort.
At our company, we move fast. Were an ultra-collaborative company with brilliant people who care deeply about the details. Together, were solving interesting and complex puzzles to keep the worlds data safe.
We work in a flexible, hybrid model, so you can choose the home-office balance that works best for you.
Responsibilities
Design and Build ML Infrastructure: Develop and maintain scalable, production-ready infrastructure for both traditional ML (anomaly detection, user behavior analytics) and LLMs across enterprise environments.
Optimize Model Performance: Analyze and optimize LLM and ML performance using techniques like knowledge distillation, quantization, and efficient data structures to boost efficiency and lower resource costs.
Deploy and Integrate: Collaborate heavily with software and data engineers to integrate models into production pipelines, cloud-native environments, and on-premises workflows.
Drive MLOps & Tooling: Manage the complete model lifecycle (monitoring, retraining, deployment) and actively build custom tools from scratch to improve the team's ML workflows.
Elevate Engineering Standards: Perform rigorous code reviews, ensure robust Python production standards, and provide technical guidance to data scientists and junior engineers.
Cross-Functional Partnership: Partner with cybersecurity researchers and product teams to translate research insights and threat analysis features into highly performant production code.
Open-Source Engagement: Actively engage with the open-source community by contributing code and expertise to relevant ML/LLM projects.
Requirements:
Experience: 5+ years of experience in a backend, ML engineering, or MLOps role with a demonstrable track record of successfully deploying and maintaining code in high-volume production environments.
Programming Mastery: Strong proficiency in Python with a deep understanding of software engineering principles, design patterns, and debugging.
Applied ML/LLM Knowledge: Hands-on experience developing and fine-tuning models using frameworks like PyTorch, HF ecosystem and deepspeed, alongside practical experience with LLMs, prompt engineering, and vector databases.
Data & MLOps Infrastructure: Strong experience with Data/MLOps tools (e.g., MLflow, Airflow, DVC) and deployment technologies (CI/CD, Kubernetes, containerization).
Big Data & Cloud: Proficiency with big data platforms (like Databricks or PySpark) and a solid understanding of public cloud platform architectures.
Ownership: Exceptional problem-solving skills with the ability to take full ownership of complex tasks from the design phase through to full production implementation.
Advantages
Prior experience building cybersecurity, data protection, or enterprise threat detection products.
Familiarity with user behavior-based anomaly detection or metadata analytics.
Experience with advanced retrieval-augmented generation (RAG) frameworks.
This position is open to all candidates.
 
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12/04/2026
Location: Herzliya
Job Type: Full Time
We are looking for a Senior AI Prompt Engineer who will own the design, development, and optimization of AI Agent experiences built on the Zowie AI platform. You will engineer the prompts, system instructions, guardrails, and multi-turn conversational flows that power our customer-facing AI Agents across chat and email-automation channels.
This is not a surface-level content role - you will operate at the intersection of language, logic, and AI behavior, shaping how our agents reason, respond, escalate, and self-correct. As part of the Digital & AI team, you will collaborate closely with Product, Engineering, AI/ML, Analysts, CX, Operations, and Localization teams to deliver intelligent, scalable, and trustworthy conversational solutions.
What you'll do:
Design, write, and optimize AI-driven conversational experiences, including system prompts, guardrails, tool-use instructions, and multi-turn flows across chatbot and email-automation channels.
Engineer and maintain reusable prompt frameworks, templates, and conversation patterns that ensure consistency in tone, safety, domain accuracy, and localization across markets on multiple channels such as AI Chat, Ai email bot, AI Voice bot.
Define and refine AI Agent behavior across user scenarios, edge cases, error states, escalation paths, and regulatory/compliance requirements.
Own end-to-end conversational journeys - from problem discovery and use-case research through design, prompt engineering, testing, deployment, and iterative optimization.
Build and maintain prompt evaluation pipelines - designing test cases, scoring rubrics, and regression tests to systematically measure prompt quality, hallucination rates, and task-completion accuracy.
Monitor, analyze, and improve AI Agent performance using analytics dashboards, QA outputs, hallucination findings, user feedback, and operational metrics; translate insights into concrete prompt improvements.
Collaborate cross-functional with Product, Engineering, AI/ML, CX, and Operations teams to identify high-impact use cases, define agent capabilities, and deliver scalable solutions.
Contribute to internal prompt engineering guidelines, conversational design systems, and AI best practices - helping establish our standards for responsible, effective AI Agent deployment.
Stay current with advancements in LLMs, agentic AI patterns, prompt optimization strategies, and conversational AI tooling; bring relevant innovations into the teams workflow.
דרישות:
3-4+ years of hands-on experience working with Large Language Models (LLMs) - including prompt engineering, system prompt design, and LLM-based application development (e.g., OpenAI, Azure OpenAI, Anthropic Claude, Google Gemini).
English proficiency - Mandatory (native or near-native written English; this role is language-critical).
Proven experience designing, deploying, and optimizing AI-powered conversational experiences (chatbots, AI agents, email automation, Voice bot or virtual assistants).
Coding/scripting experience (Python, JavaScript) for prototyping, automation, or prompt testing.
Experience with AI Agent architectures and concepts - tool use, function calling, RAG, multi-step reasoning, guardrails, and escalation logic.
Strong analytical skills - comfortable working with conversation analytics, A/B testing prompt variants, and using data to drive design decisions.
Experience designing for multilingual and multicultural audiences.
Ability to collaborate with developers and data teams to implement, test, and iterate on AI flows.
Familiarity with version control practices for prompt management and documentation.
Excellent stakeholder management - able to align multiple teams around conversational strategy and priorities.
Advantages:
Experience with conversational AI platforms (e.g., Zowie ai, Kore.ai, Yellow.ai, Ada, Cognity).
Knowledge of SQL or analytics/BI tools for performance analysis.
Background in customer service, contact center, or fintech environmen המשרה מיועדת לנשים ולגברים כאחד.
 
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14/04/2026
חברה חסויה
Location: Herzliya
Job Type: Full Time and Hybrid work
We are seeking a highly skilled Senior Software Engineer to join our team responsible for large‑scale data processing, distributed computation, and performance‑critical backend services. This role is ideal for an experienced backend engineer with a strong Python background who has built and optimized data pipelines at scale. You will design, build, and optimize systems that process large volumes of data using technologies such as Python, Databricks, and modern cloud‑native tooling. This is a senior technical position where architectural thinking, hands‑on coding ability, and ownership of end‑to‑end data workflows are essential.

Responsibilities
Design, develop, and maintain scalable, high‑performance backend services in Python.
Build and optimize large‑scale data processing pipelines running on Databricks.
Implement efficient algorithms and data transformations to support analytical and operational needs.
Optimize performance, throughput, and reliability of distributed data workflows.
Collaborate closely with Data Scientists, Product Managers, and other engineering teams to translate requirements into scalable solutions.
Implement monitoring, alerting, and observability for data workloads.
Ensure code quality through best practices such as code reviews, testing, CI/CD, and documentation.
Contribute to architectural decisions and technical strategy for the data platform.
Troubleshoot production issues, perform root‑cause analysis, and optimize system stability.
Requirements:
Qualifications
5+ years of backend software engineering experience, with a strong focus on Python.
Hands-on experience with Apache Spark, Databricks, or similar distributed-processing frameworks.
Proven ability to design and optimize high-scale data pipelines handling large datasets.
Strong understanding of distributed systems, parallel processing, and performance tuning.
Familiarity with cloud environments (Azure, AWS, or GCP).
Experience with modern CI/CD processes, testing frameworks, and code-quality standards.
Strong understanding of data structures, algorithms, and system design.
Excellent problem-solving skills and ability to work independently.

Nice-to-Have Skills
Experience in data lakehouse architectures or cloud‑native data platforms.
Familiarity with container technologies (Docker, Kubernetes).
Background in cybersecurity, analytics platforms, or large-scale SaaS systems.
Hands-on experience with AI concepts, LLMs, and agents.

Personal Qualities
Ownership mindset and ability to drive initiatives end-to-end.
Strong communication skills, both written and verbal.
Ability to collaborate across teams in a fast-paced environment.
Curiosity, adaptability, and passion for high-quality engineering.
This position is open to all candidates.
 
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2 ימים
חברה חסויה
Location: Herzliya
Job Type: Full Time
At our company, we move fast. Were an ultra-collaborative company with brilliant people who care deeply about the details. Together, were solving interesting and complex puzzles to keep the worlds data safe.
We work in a flexible, hybrid model, so you can choose the home-office balance that works best for you.
Responsibilities:
Own and operate the company authentication platform and internal IdP (token issuance, rotation, validation).
Build and maintain the NuGet packages for token validation and service-to-service communication used across all services.
Manage API gateway policies (routing, auth, rate limits, mTLS, observability).
Define and enforce RBAC across services (roles, permissions, policy evaluation, audits).
Continuously improve reliability, performance, and developer experience through automation, documentation, and support.
Requirements:
5+ years of professional experience with C# OR Java.
Strong hands-on experience with the .NET ecosystem (.NET Framework, .NET Core, ASP.NET Core, Kestrel).
Bachelors degree in Computer Science or a related field from university.
Experience designing, building, and operating microservices on Kubernetes.
Proven ability to own features e2e - from planning and design through development and unit testing.
Excellent communication skills and a strong team-oriented mindset.
Preferred
Experience with Microsoft Azure (e.g., App Service, AKS, Service Bus, Key Vault).
Experience developing and publishing reusable .NET libraries as NuGet packages.
This position is open to all candidates.
 
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חברה חסויה
Location: Herzliya
Job Type: Full Time
Were hiring an AI Engineer for our AI Core team to build and scale AI across products and workflows, from agentic document understanding to multi-agent systems and ML solutions. This is a hands-on, cross-functional role where youll prototype quickly, build robust evaluations, and ship production-grade AI with measurable business impact.
What youll do:
Build and ship AI/ML solutions using LLMs, agents, retrieval patterns (RAG), and document understanding models, alongside classic ML (classification, ranking, time-series).
Prototype and iterate quickly: turn ideas into high-quality POCs, validate feasibility, and evolve them toward production.
Shape technical direction and evaluate models and approaches using clear benchmarks, metrics, and real-world impact measurement.
Research and apply emerging techniques, e.g., multimodal/document AI, agentic frameworks, synthetic data generation, and architectural approaches.
Partner closely with product, engineering, and domain experts to identify opportunities and deliver end-to-end solutions.
Help shape scalable, secure architecture and best practices for AI delivery.
Location: Herzliya | Hybrid work model
Requirements:
5+ years of hands-on experience in AI/ML engineering, or data science with strong engineering ownership.
Strong Python and solid software fundamentals with clean, well-tested, production-quality code.
Hands-on experience with GenAI/LLMs: prompt design, embeddings, fine-tuning and RAG patterns; experience building agents is a strong advantage.
Experience with core ML; NLP/CV/multimodal experience is a plus.
Familiarity with modern AI toolkits (e.g., LangChain, Hugging Face, PyTorch).
Cloud experience (AWS/GCP/Azure) and working with scalable data pipelines.
Strong communication and collaboration skills.
BS/MS/PhD degree in CS/Data Science/Engineering (MS/PhD a plus)
This position is open to all candidates.
 
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2 ימים
חברה חסויה
Location: Herzliya
Job Type: Full Time
Were looking for an experienced and thoughtful Senior Frontend Engineer to join our team and lead the development of modern, high-quality user experiences using cutting-edge technologies - including AI-powered development tools.
Who We Are:
We believe great engineering happens when skilled people work together with trust, ownership, and a continuous drive to improve. We value clear thinking, strong opinions held lightly, and using AI as a force multiplier - not a crutch.
A Mature, Supportive Engineering Culture
Youll join a team that values psychological safety, honest feedback, and shared ownership. We invest in code quality, thoughtful design, and long-term maintainability, while still moving fast when it matters.
Modern Development with AI
We actively use AI tools to accelerate development, validate approaches, explore alternatives, and improve quality. As a senior engineer, youre expected to critically evaluate AI-generated output, understand tradeoffs, and guide others in using these tools responsibly.
A Strong Product Mindset
Our engineers partner closely with product and design, influencing solutions from early discovery through delivery. We expect you to challenge assumptions, clarify 'why,' and help ensure were solving the right problems - not just implementing requirements.
A Place to Lead and Grow
This role offers technical ownership, architectural influence, and mentorship opportunities. Whether deepening your expertise or expanding into broader system design and leadership, we support your growth.
What You'll Do:
Design, build, and maintain scalable, high-quality frontend features (primarily Angular).
Contribute to architecture and technical decision-making across frontend and full-stack concerns.
Use AI development tools while reviewing, challenging, and refining AI-generated solutions.
Lead and participate in code reviews, raising the bar for code quality.
Collaborate with Product Managers and Designers to influence product direction.
Mentor junior engineers and contribute to a strong engineering culture.
Take ownership of technical risks and long-term improvements.
Requirements:
5+ years of hands-on experience in client-side development.
Strong experience with Angular-MUST
Proven experience using AI tools in development workflows.
Strong understanding of software fundamentals and system design.
Experience influencing technical decisions and reviewing code.
Experience with Git (GitHub advantage).
Strong ownership, communication skills, and collaborative mindset.
Nice-to-Have:
Experience with Playwright or other modern testing frameworks.
Backend or full-stack development experience.
Familiarity with cloud environments and distributed systems.
Experience with data-intensive or security-sensitive systems.
Previous mentoring or technical leadership experience.
Ability to coach others in effective use of AI-assisted development.
This position is open to all candidates.
 
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חברה חסויה
Location: Herzliya
Job Type: Full Time
We are looking for a Senior Backend / Platform Engineer to design, develop, and maintain complex Backend systems and cloud‑based services.
The role includes ownership of backend components, contribution to system architecture, and leading end‑to‑end features in a distributed, production‑critical environment.
The ideal candidate is a strong hands‑on engineer with experience in server‑side development, cloud platforms, modern data technologies, and practical application of AI capabilities within backend systems.
Key Responsibilities:
Design, develop, and maintain server‑side and backend services in production environments
Lead end‑to‑end feature development, from design through implementation and deployment
Contribute to system and solution architecture, including scalability, performance, and reliability
Develop and support data‑intensive services and pipelines, including database‑driven systems
Debug and resolve complex backend and production issues
Work closely with engineers, architects, DevOps, and product stakeholders
Apply AI‑based techniques to improve automation, quality, efficiency, or observability of backend systems
Requirements:
Strong experience developing server-side applications using C# (.NET) and/or Java/GO, with 3+ years of hands-on experience
Proven backend debugging and troubleshooting skills
Solid understanding of object‑oriented programming, design principles, and design patterns
Experience in system design and leading features end‑to‑end
Experience working with AI-assisted and agentic development practices,
using tools such as GitHub Copilot, Claude Code or similar, to improve development speed,
code quality, and system reliability.
Excellent problem‑solving and analytical skills
Excellent interpersonal and communication skills
Fluent English (written and spoken)
Familiarity with CI/CD tools, especially Jenkins
B.Sc. in Computer Science from a recognized institute
Nice to have:
Experience with distributed systems and cloud‑native architectures
Experience supporting production‑critical platforms
Exposure to DevOps practices and automation
This position is open to all candidates.
 
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חברה חסויה
Location: Herzliya
Job Type: Full Time
We are looking for a Software Engineer specializing in ML systems Engineering to join Development department.
While vision and language models have become increasingly commoditized, proprietary deep learning models are unique, fast-evolving, and deployed in live trading across the worlds most efficient and sophisticated financial markets. Operating in this environment presents distinct scaling challenges and continuous opportunities for optimization. Success in this role requires first-principles thinking and a deep understanding of the engineering trade-offs behind high-performance DL systems.
This is a pivotal role within engineering organization. You will work closely with researchers and engineers across the company, running deep learning models on massive compute clusters and adapting them for production serving under strict and non-trivial constraints.
Requirements:
B.Sc. with honors in CS/EE/Math/Physics, or a related field from a top-tier university
5+ years of hands-on experience building and deploying large-scale deep learning systems in production
Advanced proficiency in PyTorch/TensorFlo
Preferred Qualifications :
M.Sc. or Ph.D. in a relevant quantitative field - Advantage
Proficiency in Python/C/C++
Deep, working knowledge of PyTorch internals
Strong experience in several of the following areas:
Performance profiling and optimization of deep learning workloa
Orchestrating and optimizing large-scale distributed training (hundreds to thousands of GPUs)
Optimizing model serving and inference pipelines (quantization, distillation, compilation, memory optimization, etc.)
Training and scaling state-of-the-art vision, language, or diffusion models
Implementing custom CUDA/Triton kernels
This position is open to all candidates.
 
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2 ימים
חברה חסויה
Location: Herzliya
Job Type: Full Time
We are looking for a self-driven and experienced software engineer to join our R&D department. In this position, you will be part of a newly formed team responsible for designing and implementing a brand-new flow that classifies and processes sensitive data in files.
This is an opportunity to build a system from the ground up, working with cutting-edge technologies and handling large-scale data challenges. If you thrive in a fast-paced environment, are passionate about delivering high-quality solutions, and excel at taking initiative, wed love to hear from you.
Responsibilities
Design, implement, and test complex backend systems to ensure they meet the required specifications and performance standards.
Review and provide constructive feedback on your teammates' code to maintain high-quality code standards and promote best practices.
Requirements:
5 years of experience in building complex backend systems.
Experience in C# / JAVA / .NET
Expertise in microservice architecture
Proficiency in working with various backend technologies such as databases, caches, k8s, containers, Kafka and cloud environments.
Excellent problem-solving skills and ability to work well in a team.
Experience in the cybersecurity space is an advantage.
This position is open to all candidates.
 
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16/04/2026
Location: Herzliya
Job Type: Full Time
As a Principal Software Engineer will:
Lead the technical direction and architecture of business-critical initiatives across Microsoft Security.
Drive the design of large-scale, resilient, and secure distributed systems that serve millions of users.
Contribute to business-critical initiatives in Microsoft Security
Will improve the end-to-end lifecycle of services
Analyze complex system behaviour, and apply modern engineering practices to streamline deployments and reduce costs.
Tackle highly ambiguous, complex problems that span multiple domains, and turn them into clear technical plans and execution paths.
Improve the end-to-end service lifecycle, including reliability, scalability, security, operational excellence, and cost efficiency.
Your role involves working on high-end technologies and collaborating across disciplines to deliver impactful features.
Partner closely with engineering, program managers, and security experts to drive impactful outcomes for Microsoft Security customers.
Requirements:
Qualifications
Our teams focuses on the diversity of all types of candidates, and we strive to hire people with different experiences and perspectives into our teams. To that end, we know that no candidate has every desired skill and experience, but together we make a strong, effective teams.

You have a B.Sc. or M.Sc. in computer science, software engineering, or equivalent experience.
You have 12+ years of professional hands-on software development experience, primarily focused on developing and designing backend services in cloud or on-premises environments.

Other:
Deep experience with Kubernetes, containers, and modern cloud-native architectures.
You have experience taking initiative, map product/feature requirements, dependencies, and deliverables.
Experience with large-scale data systems and databases (SQL, MongoDB, Cosmos DB, Redis, Azure Data Explorer).
Experience owning systems that include both cloud services and client components.
Background in cybersecurity, cloud security, or security-focused platforms.
Experience designing and operating services with high reliability, observability, and operational maturity.
Demonstrate success dealing with ambiguous unsolved problems; and the ability to independently make solid progress by breaking new ground.
This position is open to all candidates.
 
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Location: Herzliya
Job Type: Full Time
In your role as a WiFi ML Link Adaptation Algorithm Engineer, as part of our Connectivity Group, you will be part of a world-class group that pioneers design and development of MAC Layer algorithms for wireless communication systems on our products.

We are looking for ML algorithm engineer to innovate and develop advanced rate adaptation and link optimization algorithms for WiFi systems. You will design and develop intelligent algorithms that dynamically optimize wireless transmission parameters to maximize throughput and reliability across diverse channel conditions.

Responsibilities:
Develop algorithms and models to improve rate selection, frame sizes, antenna selection and more with using ML.
Build/Configure simulation environments modeling fading channels, interference, and multi-user scenarios.
Validate performance of algorithms and models in network and HW simulations across diverse channel conditions.
Convert models and algorithms to embedded firmware implementation.
Create comprehensive test frameworks to evaluate real-world performance.
Conduct over-the-air testing and performance characterization on devices.
Analyze field telemetry data to identify optimization opportunities.
Debug and resolve algorithm-related issues in real-world deployment scenarios.
Requirements:
Minimum Qualifications
M.Sc/Ph.D in Electrical Engineering, Computer Engineering, or related discipline.
5+ years of experience and proficiency in ML.
Expertise in optimization algorithms with using machine learning and GenAI algorithms, or adaptive control systems.
Proficiency in algorithm development using MATLAB, Python, or similar tools.
Knowledge in wireless protocols: WLAN (IEEE 802.11), Bluetooth, Cellular.

Preferred Qualifications:
Experience with rate adaptation, link adaptation, or similar adaptive algorithms.
Experience with C/C++.
This position is open to all candidates.
 
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עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
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