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לפני 1 שעות
Location: Herzliya
Job Type: Full Time
we are looking for a Platform Enablement & AI Engineer.
The Platform Enablement & Automation team owns configuration management across products and services, defining how they operate for different customers, partners, and markets. This scope spans pricing and fee structures, eligibility and limit policies, onboarding, and the business rules and operational controls that govern product behavior across regions.
The team functions as the rapid-delivery layer between a business requirement and a fully productized solution. When a business unit requires a new capability, a pricing change, or a configuration deployed at short notice, the team delivers it at production quality without waiting for the full product and engineering build cycle. To operate at scale, the team builds and owns its internal platform, and is progressively evolving into an AI-native, automation-first function.
This is a hands-on, individual-contributor position focused on engineering delivery and technical ownership rather than people management. The successful candidate will serve as a core builder of the platform, working across the full technology stack, from user interface through backend services to data and deployment, and will provide the technical depth and redundancy that prevents the platform from depending on any single individual.
Working in close partnership with the business teams the platform serves, the successful candidate will translate their requirements directly into working software and help extend the platform outward as it grows to support strategic partners. The role also partners with the team's Director to shape the platform roadmap and deliver against it, in daily collaboration with R&D and Product in Glilot.
Requirements:
4+ years of hands-on software engineering experience, with demonstrated ownership of features and projects from concept through production.
A broad engineering foundation and the versatility to work across the full stack rather than within a single narrow specialization.
Proficiency with a modern JavaScript / TypeScript stack (React on the front end, Node.js on the back end), and the ability to become productive quickly in unfamiliar parts of a stack.
A working command of version control and release management (Git or Azure DevOps), including branching, merging, and multi-environment deployment.
Sound solution design judgment: the ability to translate ambiguous requirements into a clear technical approach and execute it.
Proficiency with AI-assisted development tools and a demonstrated ability to build efficiently and to a high standard with them.
The ability to work directly with business stakeholders and translate their needs into working software.
A pragmatic, execution-oriented approach, with a bias toward shipping, iterating, and taking ownership from concept through production.
Advantage:
Existing familiarity with Payoneer's platform, systems, and business operations.
Experience with both document databases (e.g., MongoDB) and relational databases (SQL / MSSQL).
Familiarity with AI and LLM platforms, agentic workflows, or retrieval-augmented generation (RAG) systems.
Experience with SSO / SAML authentication, APIs, and system integration.
Prior contribution to an internal platform or developer-facing tooling.
Experience operating within a Windows / IIS hosting environment.
This position is open to all candidates.
 
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חברה חסויה
Location: Herzliya
Job Type: Full Time
We are seeking a candidate who views AI tooling as a fundamental force multiplier in their daily engineering process. This position is central to our transition into an AI-native function, requiring an individual capable of making decisive, pragmatic architectural choices on reversible matters to maintain momentum. We need an experienced builder of production-grade, data-centric systems who is obsessed with delivering customer value and possesses a deep, curious enthusiasm for the transformative potential of AI.
What You Will Build:
AI-Native Systems Development. Design, build, and own scalable data and ML pipelines, backend services, and AI-powered capabilities that are part of the platform's production decision-making layer. AI and ML components are runtime dependencies in this role - not research projects or experiments. Candidates will have strong back end and data engineering skills to thrive in this space.
Daily Shipping. Decompose complex work into safely mergeable increments and ship them daily. Treat large, multi-day pull requests as a risk to momentum. Use feature flags, canary releases, and rollback architecture to manage risk through isolation - not through avoidance.
AI-Augmented Engineering Workflow. Leverage AI-assisted development tooling (code generation, automated testing, architecture prototyping) as a core workflow multiplier. Evaluate and experiment with emerging AI tools and frameworks with direct hands-on engagement. Bring technical depth to AI fluency - architecture and capability tradeoffs, not surface-level awareness.
End-to-End Ownership. Own your work from design through production deployment, operational monitoring, and business impact measurement. Accountability extends beyond the feature to CI/CD pipeline health, observability, cost efficiency, and domain-level outcomes.
Architectural Decision-Making. Make pragmatic, timely architectural choices that balance modern AI and data technologies with reliability, cost, and delivery speed. Distinguish reversible vs. irreversible decisions and move forward without waiting for consensus on the former. Document decisions in lightweight ADRs and own the outcomes.
Cross-Functional Collaboration. Partner with product, design, infrastructure, and GTM teams to translate customer and business needs into technical solutions. Operate with business awareness - understand how your systems impact revenue, customer outcomes, and strategic priorities.
דרישות:
5+ years building and shipping production-grade back end and data systems in distributed cloud environments (AWS and/or GCP).
Hands-on AI/ML integration in production workflows. You have shipped systems where AI, LLM, or agent-based components are part of the production runtime - not just prototypes or research. You can speak to the architectural tradeoffs of integrating AI into live backend systems.
Active use of AI-assisted development tooling as a workflow multiplier. You currently use AI tooling (Copilot, Cursor, or equivalent) to accelerate your engineering output and can articulate specifically how it increases your throughput. You stay current on relevant tooling without being directed to do so.
Strong back end expertise in Java (Spring Boot), Python, and/or Go. Hands-on experience with relational and non-relational databases, data modeling, and query optimization.
Demonstrated expertise in automated testing, CI/CD, and observability.
High-Velocity ownership - candidates should thrive in high-ownership, builder-first environments where shipping daily and owning outcomes are fundamental to the role.
Demonstrated ability to break work into small, incremental deliveries and maintain strong delivery flow. You have a track record of decomposing complex work into small, safely mergeable increments and shipping software solutions to solve customer pain continuously. You can describe your approach to scope deconstruction and provide concrete examples.
Preferred
Experience shipping ML-Ops powered s המשרה מיועדת לנשים ולגברים כאחד.
 
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הגשת מועמדותהגש מועמדות
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לפני 1 שעות
חברה חסויה
Location: Herzliya
Job Type: Full Time
we are looking for a AI Native Engineer (Node. js).
You will join a high-impact AI engineering team within R&D, owning problems end-to-end from understanding the business need, through architecture and implementation, to production monitoring. This is a new way of working at Payoneer: you'll work directly with business stakeholders, ship AI-driven capabilities at speed, and help define the methodology as we build it.
As a member of the AI Foundations organization, you will lead best practices, champion early adoption of new technologies, and influence the direction of our R&D guild - building and shipping cutting-edge agentic applications that deliver seamless experiences to our users.
Location
Hybrid - Herzliya, Israel
Full-time
What you'll do:
Own the full development loop understand the business problem, define the solution, architect it, build it, ship it, and monitor it in production
Use AI as your primary development tool, achieving in a day what used to take a team a week
Collaborate with your team and business stakeholders to define decision logic, risk thresholds, and success metrics
Design and build evaluation frameworks as part of every solution you don't ship what you can't measure
Own production readiness monitoring, alerting, and observability go in on day one
Contribute to shaping team practices, tooling, and engineering standards across the pod
Decompose business problems into agentic workflows, orchestrated flows, and reusable capabilities.
Requirements:
5+ years of software engineering experience, building and operating production systems
Strong hands-on Node.js + TypeScript experience, building backend services (preferably NestJS)
Strong fundamentals: REST APIs, async patterns, debugging, and performance considerations
Experience working with data sources (SQL and NoSQL)
Experience with distributed systems: caching (Redis), queues (Kafka/RabbitMQ), containers/K8s
Strong knowledge of CI/CD, feature flags, and environment separation (dev/test/prod)
Genuine fluency with AI-powered development tools you use them daily to move faster
Strong evaluation instincts you define metrics, build test sets, and validate before shipping
Comfortable across the full stack you move between backend services, data pipelines, and infrastructure as needed
High degree of independence you lead work from problem definition to production without waiting for detailed specs
Excellent communication you flag risks early, give direct feedback, and collaborate openly
Strong learning ability fast to pick up new domains, tools, and patterns, and comfortable working in ambiguity
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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03/09/2026
חברה חסויה
Location: Herzliya
Job Type: Full Time
Were looking for a Technical Integration Manager to join our team and help connect the dots between our business goals and R&D efforts. This hybrid role is ideal for someone who enjoys working between business and technology, combining project coordination with technical understanding.
Youll be the main connection between our business units and R&D - understanding business needs, translating them into clear requirements, aligning priorities, and helping teams deliver successfully. Youll also support product and project activities to move initiatives forward.

Responsibilities

Serve as the main point of contact between business stakeholders and R&D
Translate business needs into clear requirements and technical briefs
Work closely with R&D to ensure alignment on scope, timelines, and delivery expectations
Own development initiatives end-to-end spec, tasks, QA, rollout, and monitoring whether you build them yourself using AI tools, automation and no-code, or hand them to R&D developers.
Write technical specs and acceptance criteria, and manage the work in task management tools.
Guide and train the business departments on new features documentation, walkthroughs, and ongoing support
Coordinate cross-functional meetings, updates, and ongoing communication
Assist in planning and prioritizing roadmaps and project timelines
Track and report on progress, risks, and blockers across multiple initiatives
Solve complex tech problems and support the business departments
Build new dashboards for internal and external users using tools like Google Data Studio, Redash, Tableau and others.
Requirements:
B.Sc in Industrial engineering and management/ Information System/ Computer Science or equivalent [a must]
2+ years of experience in project management, or technical support
A can-do attitude, willingness to tackle problems or new tasks and go the extra mile
Ability to work within a team or individually
Experience in a product, project, or technical coordination role
Knowledge/experience in Python and SQL
Understanding of APIs, JSON, webhooks, authentication, and system integrations
Experience working with data and translating business requirements into KPIs, reports, and dashboards
Understanding of Generative AI, LLMs, AI agents, and AI-powered automation
Ability to identify opportunities to apply AI and automation to improve business and technical processes
Familiarity with working with AI APIs and AI-based tools
Good mathematics, problem-solving, interpersonal and organizational skills
Ability to drive tasks to completion in a cross discipline environment
Detail-oriented with a focus on delivery and follow-through
Fluent in English and Hebrew (spoken and written) [a must]
Familiarity with agile methodologies and tools like Jira and Trello [Advantage]
Previous experience in an adtech, media, or SaaS company [Advantage]
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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31/08/2026
חברה חסויה
Location: Herzliya
Job Type: Full Time
We're hiring a senior AI Engineer to join our AI team building our autonomous AI agent and helping extend AI capabilities across the company.

What You'll Do

Design and ship our agent systems end-to-end - perception, reasoning, memory, retrieval, and the loops that connect them. Production agents, not prototypes.
Optimize multimodal inference for real-time operation at the edge - model choice, quantization, and batching to hit our latency and concurrency budgets.
Design embedding pipelines, vector storage, and hybrid retrieval that power the agent's search, behavioral analytics, and rule generation.
Architect how multiple edge units coordinate at scale - sharing context, correlating activity, and behaving as one coherent system for our largest deployments.
Build the agent's air-gapped lifecycle - updating, learning, and evolving entirely inside customer private networks with no cloud connectivity.
Run focused research on new open-source models and inference frameworks, and bring back insights and prototypes that inform our roadmap.
Plus occasional cross-company AI projects across the rest of the company.
Requirements:
We care about a particular mindset more than any specific item on a checklist. The person who'll thrive here is someone already living inside the modern AI stack - not planning to start. You read model release notes the way other people read the news. You've built real things with new tools the week they came out. Agentic dev workflows aren't something you've heard about; they're how you already work. When a new model drops, your first instinct is to put it on the bench. And underneath all of it, you're a builder - you ship, you write clean software, and you think about latency, cost, and what the user actually needs.

What We're Looking For

6+ years of software engineering experience, with the last few focused on AI / ML systems
Deep, hands-on experience designing and shipping agent systems in production - not demos. You understand agent architectures, memory, tool use, evaluation, and the failure modes that matter at scale.
Strong fundamentals in embeddings, RAG, and hybrid retrieval, with real experience designing vector storage and retrieval pipelines for production use
Deep production backend foundations - strong Postgres knowledge (functions, triggers, indexes, extensions, atomic operations, and similar depth), real-time client channels (WebSockets, SSE), async and event-driven backbones (pub/sub, queues, background tasks, webhooks), the ability to design systems and features around multithreading and multiprocessing, and dynamic resource management for high-throughput, latency-sensitive workloads.
Excellent architecture instincts and strong Python - you write code that scales and that other engineers can build on
Product sensibility - you can reason about trade-offs and what's worth building, not just what's technically possible
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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7 ימים
חברה חסויה
Location: Herzliya
Job Type: Full Time
Power the Future with us! we are a global leader in high-performance smart energy technology, with over 3000 employees, offices in 34 countries, and millions of products installed in over 133 countries. Our diverse product offering comprises intelligent solar inverters, battery Storage, backup systems, EV charging, and complete home energy management ecosystems. By leveraging world-class engineering capabilities and with a relentless focus on innovation, we strive to create a world where clean, green energy from the sun is the primary source of power for our homes, businesses, and just about everywhere we thrive. About the Role: Join our dynamic Mechanical Engineering team and play a key role in developing our company's next generation of cutting-edge products. As a Mechanical Engineer, you will be responsible for the design, development, and validation of mechanical components and systems for our diverse product line, focusing on innovation and manufacturability. This role offers the opportunity to contribute directly to the advancement of sustainable energy solutions. Responsibilities:
* Design and develop robust and reliable mechanical solutions for electronic packaging, particularly for high-power outdoor products, considering thermal management, environmental protection, and manufacturability.
*  Design components optimized for various manufacturing processes, including plastic injection molding, die casting, extrusion, and sheet metal fabrication.
*  Collaborate with electrical engineers on the mechanical integration of printed circuit boards (PCBs) within product enclosures.
* Create and maintain detailed production documentation, including mechanical drawings, assembly instructions, and PCB layouts, ensuring accuracy and completeness.
* Review First Article Inspection (FAI) reports, analyse results, and approve parts for mass production, ensuring adherence to quality standards.
* Perform engineering calculations (e.g., stress analysis, heat transfer analysis, magnetic simulations, dynamic analysis) to validate designs and ensure performance requirements are met.
* Participate in design reviews, contribute to problem-solving, and drive continuous improvement in design processes.
* Collaborate with cross-functional teams, including product management, manufacturing, and testing, to ensure successful product development and launch.
* Contribute to the validation, testing, and troubleshooting of mechanical components and systems throughout the product development lifecycle.
Country:
Israel
City:
Herzliya
Requirements:
* B.Sc. or M.Sc. degree in Mechanical Engineering, Plastics Engineering, Aeronautical Engineering, or a related field.
* Minimum of 3 years of proven experience in mechanical design and development.
* Demonstrated experience in designing for manufacturability (DFM) with a strong understanding of mass production processes.
* Preferred: Experience in designing components for plastic injection molding, die casting, extrusion, and metal forming.
* Preferred: Experience in the mechanical integration of PCBs within electronic enclosures.
* Strong analytical and problem-solving skills, with the ability to perform engineering calculations and simulations.
* Proficiency in CAD software (specify preferred software, e.g., SolidWorks, Creo, etc.).
* Excellent communication and collaboration skills, with the ability to work effectively in a team environment.
* A passion for renewable energy and a commitment to sustainability. our company recognizes its talented and diverse workforce as a key competitive advantage. Our business success is a reflection of the quality and skill of our people. we are committed to seeking out and retaining the finest human talent to ensure top business growth and performance.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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03/09/2026
חברה חסויה
Location: Herzliya
Job Type: Full Time
We are seeking an experienced Mechanical Design Engineer to develop airborne mechanical assemblies, structures, and avionics packaging, and to support projects from design reviews through manufacturing, integration, aircraft surveys, and on-site installation. Key Responsibilities
* Develop concepts, detailed designs, 3D models, 2D manufacturing drawings, BOMs, and technical specifications for airborne mechanical systems;
* Design metallic, sheet-metal, machined, and composite components with attention to weight, cost, reliability, and manufacturability;
* Prepare and present technical packages for PDR and CDR reviews;
* Coordinate mechanical interfaces with systems, stress, electrical, avionics, manufacturing, quality, test, and certification teams;
* Support prototype builds, qualification testing, aircraft integration, installation, troubleshooting, and design improvements;
* Manage engineering changes, drawing releases, configuration control, and product documentation throughout the development lifecycle; and
* Work with suppliers and production teams to resolve fabrication, assembly, and installation issues.
Requirements:
* B.Sc. in Mechanical Engineering or certification as a Practical Mechanical Engineer;
* Full professional proficiency in English and Hebrew – Must;
* A minimum of five years of experience in mechanical design – Must;
* Advanced proficiency in SOLIDWORKS – A Significant Advantage;
* Experience in the aerospace or defense sectors, including familiarity with AS9100 and DO-160 – A Significant Advantage;
* Demonstrated experience in vendor management and hands-on installation support – A Significant Advantage;
* Practical knowledge of GD&T, tolerance analysis, materials, and manufacturing processes – A Significant Advantage;
* Experience with configuration management or PLM/PDM tools and formal engineering change processes – An Advantage; and
* Experience supporting environmental or qualification testing, including vibration, shock, and thermal testing – An Advantage;
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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13/08/2026
חברה חסויה
Location: Herzliya
Job Type: Full Time
At Infinidat, a Lenovo company, we empower enterprises and service providers with cutting-edge storage platforms that redefine performance, reliability, and cyber resilience at scale. If you have a strong background in NPI processes, experience in PLM, strong self-learning capabilities, and leading tasks E2E, we’d like to meet you! The NPI engineer will be responsible for the configuration control of INFINIDAT products, and all aspects of NPI processes.

Responsibilities:

* Building and managing Production files: BOMs, Product documentation, working instructions, and drawings.
* Transfer to Production of new products - Full NPI processes.
* Conducting and implementing product changes (ECOs, deviations) and configuration control, managing product lifecycle E2E.
* Ongoing technical support at FTK sub-contractor's production line sites (IL and US) with existing and new products, an initiative for production line continuous improvement.
* Lead the company certifications and compliance maintenance -International and sustainability.
* Work closely with various departments in the company to define manufacturing procedures.
Requirements:
* B.Sc. in Mechanical/Electrical/Industrial Engineering
* At least 3 years of NPI experience.
* Hands-on experience with PLM - Product BOM, Change Control Management, and Product Configuration.
* Technical experience with HW components including writing working instructions and part replacement procedures
* Familiarity with sustainability certificates - an advantage
* Independent, assertive, and proactive approach – being able to own a task and deep dive into the relevant details surrounding it, leading projects/tasks E2E
* Strong interpersonal communication skills and a real team player.
* Multitasking skills to be able to work on multiple tasks in parallel.
* Fluent in English - reading, writing, and speaking.
* Microsoft Office tools - Excellent skills in Word, Excel, and PowerPoint tools.
* Experience with CAD 2D/3D Drawing software – an advantage
?About Infinidat Infinidat’s enterprise storage portfolio provides global Fortune 500 enterprises and service providers with best-in-class solutions for primary storage, next-generation data protection, disaster recovery, business continuity, and cyber resilience. Infinidat’s acclaimed InfuzeOS is the one of the most flexible and complete enterprise software-defined storage architectures in the industry. We recently announced powerful enhancements, an extensive expansion, and the dynamic evolution of our award-winning G4 enterprise cyber and AI storage solutions! Not only did Infinidat win over 40 awards in 2025 , but was named a Gartner® Peer Insights™ Voice of the Customer Award for Primary Storage for the 7th time!
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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03/09/2026
חברה חסויה
Location: Herzliya
Job Type: Full Time
As an AI Engineer, you will help build scalable deep learning systems for Physical AI and humanoid robotics.
You will contribute across the full AI lifecycle, from simulator integration and large-scale data pipelines to model training, evaluation, deployment, and optimization on real robotic platforms.
In this role, you will work with large-scale datasets and compute infrastructure to train state-of-the-art models that enable robots to perceive, reason, and act in the physical world.
You will help build robust, production-grade systems that bridge simulation and reality, accelerate model iteration, and bring cutting-edge AI capabilities onto real humanoid robots.
Requirements:
B.Sc. in Computer Science, Engineering, or a related field.
4+ years of hands-on experience in backend software engineering or machine learning infrastructure.
Python Expertise: Extensive experience and strong proficiency in Python - a must-have.
System Architecture: Proven ability to build robust APIs and integrate complex software components.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
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8808261
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תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
17/09/2026
Location: Herzliya
Job Type: Full Time
The Onshore Construction Superintendent provides construction leadership and execution support for upstream operations, small capital projects, and turnarounds. This role is a key member of the project team, responsible for planning, directing, and completing construction and commissioning activities safely, efficiently, and in compliance with quality, cost, and schedule requirements.

Key Responsibilities

Lead and manage onshore construction and commissioning activities for production assets and capital projects of small & medium scope and complexity.

Provide overall construction management direction, from project planning through execution, commissioning, and close‑out.

Develop and implement construction and commissioning execution plans, procedures, and site execution strategies.

Establish construction methods, procedures, costs, schedules, and resource requirements.

Develop detailed schedules, manpower plans, vendor support requirements, and construction contracting strategies.

Oversee and coordinate construction contractors, subcontractors, and site personnel, ensuring effective execution and alignment with project objectives.

Lead constructability reviews and hazard identification / risk assessment workshops, ensuring risks and safeguards are incorporated into execution plans and work packs.

Implement site safety management systems to ensure all work is performed safely and in compliance with health, safety, and environmental requirements.

Implement quality assurance and quality control processes to ensure construction and commissioning activities meet specified standards and requirements.

Monitor compliance with applicable building codes, regulations, permits, and safety requirements for all onsite and offsite construction activities.

Manage construction budgets and schedules, including progress measurement, reporting, and forecasting.

Identify execution risks and variances, recommend adjustments to construction strategies or schedules, and coordinate changes with the Project Manager, Project Controls Lead, and Site Team.

Lead schedule reviews with the site construction team and drive recovery plans as required.

Select and coordinate tools, materials, equipment, and support services required for construction execution.

Support construction contract development, negotiation, review, and approval.

Ensure Implementation of site document management systems throughout project execution.
Requirements:
Knowledge, Skills, and Experience

Experience & Education

Typically requires 10+ years of construction management experience.

Proven experience in onshore construction, preferably within upstream oil & gas or industrial facilities.

Experience with piping, mechanical, structural, and electrical construction scopes.

Familiarity with project execution methodologies and construction management practices.

Technical or trade certifications; Eng degree - preferred.

Relevant safety, construction, and professional training courses required.

Technical & Professional Skills

Advanced knowledge of construction management processes, methods, and execution strategies.

Strong understanding of construction scheduling, cost control, risk management, and quality systems.

Solid technical background in construction, engineering, or related discipline.

Leadership & Project Management

Demonstrated ability to lead multi‑disciplinary construction and commissioning teams.

Strong project management capabilities, including planning, budgeting, and execution control.

Proven ability to mentor and develop team members in construction execution management.

Communication & Problem Solving

Effective communicator with the ability to convey complex technical and execution information to diverse stakeholders.

Strong problem‑solving skills with the ability to identify, assess, and resolve construction and execution challenges proactively.
This position is open to all candidates.
 
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23/08/2026
Location: Herzliya
Job Type: Full Time and Hybrid work
we are looking for a Senior AI Engineer.
About the Role
In this role, you will:
Build Modular AI Capabilities: Design and implement self-contained "AI Skills" that connect to the CYE Platforms core data layers.
Ship End-to-End Autonomous Agents: Build agents that don't just "think," but act. You will deploy agents that handle the heavy lifting of the security lifecycle.
Bridge the Gap to Non-Technical Users: Create the abstractions that allow our customer success teams and client stakeholders to trigger or chain these AI workflows.
Own the AI Infrastructure & Evaluation: Maintain and contribute to the environment where these agents are born, ensuring they are grounded in truth.
Requirements:
Professional Experience: 3+ years of experience in dedicated AI development (LLMs, agentic workflows, RAG).
Senior Engineering Track: Alternatively, we value 7+ years of Senior Software Engineering experience combined with at least 1 year of deep AI development.
Education: A Bachelors or Masters degree in Computer Science or Electrical Engineering is a major bonus.
Technical Mastery: Deep proficiency in Python and the modern AI stack, with the ability to architect systems that require high reliability.
This position is open to all candidates.
 
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8793442
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