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לפני 5 שעות
Location: Netanya
Job Type: Full Time
Join team to build and extend the AI assistant embedded across our product suite. The platform is a production LLM agent system that's integrated into multiple host applications, backed by a RAG knowledge base and an evaluation-driven development workflow.

You'll work end-to-end: agent design, tool implementation, retrieval quality, integration into existing product UIs, cloud infrastructure, and evaluation/observability. The platform already ships to customers - you'll extend it, raise its quality bar, and help define where it goes next.

What you'll do

Design and evolve agents - build LLM agents with tool use, routing, and human-in-the-loop flows.
Implement tools and integrations - expose product capabilities to the agent, with multi-tenant context, via internal APIs and MCP servers.
Own retrieval quality - contribute to our RAG pipeline end-to-end: ingestion, embeddings, vector search, and reranking.
Define and evolve host integration contracts - collaborate with host application teams to integrate the assistant into product UIs built on different frontend stacks. You own the shared remote module and the integration API; host teams own their stacks.
Drive evaluation-led development - write evaluators (rule-based, LLM-as-judge, multi-turn), maintain CI eval gates, and use traces and feedback to debug production behavior.
Operate the platform - own deployments, observability, and the performance and cost of LLM-backed services.
Establish engineering practices** for AI-specific work: prompt versioning, eval coverage, testing, and code review.
Requirements:
7+ years of professional software engineering experience.
Strong TypeScript - the primary language across our backend, frontend, and agent code.
Proficiency in modern UI frameworks like React, Angular, or Vue, combined with a strong understanding of JavaScript.
A minimum of 3 years of production experience in backend development using Node.js.
Production experience with LLM-based applications, including prompt engineering, agent/tool-calling design, and RAG.
Hands-on experience with an agent framework (e.g., LangGraph, LangChain).
Vector databases and semantic search with embedding-based retrieval.
Cloud experience on AWS - compute, storage, IAM, and managed LLM services (e.g., Bedrock or equivalent).
Solid web fundamentals - REST APIs, WebSockets, auth (token/OIDC), and modern React.
Docker and standard CI/CD practices.
This position is open to all candidates.
 
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לפני 11 שעות
דרושים בAlljobs Match
Job Type: Full Time
AllJobs, a leading company in the employment industry, is looking for a Senior Full Stack Developer.
Job Description
Responsibilities:

Design, develop, and maintain end-to-end, large-scale systems in a Full Stack environment.
Develop robust Back-End services using C# and.NET, alongside modern Front-End applications using React, Next.js, and Angular.
Lead development projects from the planning and design stages through implementation and production deployment.
Collaborate closely with Product, UX/UI, DevOps, and Development teams to deliver high-quality, scalable solutions.
Perform Code Reviews, mentor team members, and promote development best practices.
Integrate AI technologies and tools into development processes to improve efficiency and build innovative solutions.
Work in a dynamic, collaborative, and technology-driven environment, with a direct impact on AllJobs' products and services.
Requirements:
At least 7 years of experience in Full Stack development.
Strong experience with C# and.NET development.
Hands-on experience with React, Next.js, and Angular.
Experience working with SQL - an advantage.
Experience developing with AI tools and AI technologies - an advantage.
Proven experience leading end-to-end development projects, from planning and architecture through production deployment.
Ability to design scalable technical solutions, make architectural decisions, and lead tasks independently.
Strong commitment to writing clean, maintainable, and high-quality code.
Experience conducting Code Reviews and working according to development Best Practices.
Ability to thrive in a fast-paced environment while managing multiple tasks simultaneously.
Excellent interpersonal and teamwork skills, with the ability to provide technical leadership and mentor other developers.
This position is open to all candidates.
 
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משרה בלעדית
1 ימים
דרושים בהיי סק מעבדות בע"מ
Job Type: Full Time
High Sec Labs (HSL) is a cyber-defense solutions company specializing in network and peripheral isolation. With roots in the defense industry, HSL has developed cyber protection solutions for nuclear submarines and aircraft. The company serves leading governments, defense organizations, banks, healthcare providers, and national infrastructure companies.

Role Description
This is a full-time on-site role for a Full Stack Engineer at High Sec Labs located in Or Akiva.
The Full Stack Engineer will be responsible for developing both back-end and Front-End web applications, software development, and Full-Stack development using modern technologies. The role requires expertise in Node.js for Front-End development, with a preference for React.
Requirements:
4+ years of experience in Full-Stack Development
Strong proficiency in Node.js
Experience with React (preferred), Angular, or Vue.js
Proficiency in Front-End technologies including HTML, CSS (Cascading Style Sheets), and JavaScript
Experience with back-end development, APIs, and database management
Strong problem-solving and analytical skills
Excellent teamwork and communication abilities
Bachelor's degree in Computer Science or related field
Knowledge of cybersecurity principles is a plus
This position is open to all candidates.
This position is open to all candidates.
 
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1 ימים
Location: Netanya
Job Type: Full Time
We are looking for an experienced and hands-on ATE Engineer to design, develop, and maintain the data and software infrastructure supporting our Automated TEST Equipment (ATE) environments.

In this role, you will establish the database architecture, data pipelines, reporting tools, and infrastructure required for electronic card testing, system -level testing, and radar calibration of advanced radar systems.

Key Responsibilities:

Design and maintain the ATE database and software infrastructure.
Develop data pipelines, APIs, and integrations for ATE systems.
Build BI dashboards and reports for production and TEST data.
Ensure data integrity, traceability, backup, and availability.
Support deployment across production sites and secured networks.
Collaborate with ATE, Production, IT, Quality, and Cybersecurity teams.
Requirements:
B.Sc. in Computer Science, Software Engineering, Information Systems, or a related field.
At least 3 years of hands-on experience in database, BI, data engineering, or software infrastructure.
Strong Python and SQL skills, including database design and performance optimization.
Experience with ETL /ELT, APIs, data integration, and BI tools-preferably Power BI.
Experience deploying and supporting data solutions in production environments.
Strong system -oriented thinking, troubleshooting, communication, and documentation skills.
Knowledge CI/CD pipelines, automated testing, packaging, and software deployment - Advantage
Knowledge in Git, including branching strategies, code reviews, release management, and serving as an ATE team Git Master - Advantage
This position is open to all candidates.
 
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31/08/2026
חברה חסויה
Location: Tel Aviv-Yafo and Netanya
Job Type: Full Time
We're seeking a hands-on AI Solutions Specialist to lead the development and implementation of enterprise-wide AI applications. In this pivotal role, you'll evaluate and deliver cutting-edge AI solutions to employees and teams across the organization. You'll spearhead AI solution projects from initial concept and gathering requirements through execution and widespread adoption, serving as the central point of contact between business, IT, and data teams. You'll also be at the forefront of the latest AI technologies.

As an AI Solutions Specialist you will
Partner directly with cross-functional and non-R&D teams to understand workflows, pain points, decision-making processes, manual tasks, and operational bottlenecks - diagnosing where GenAI and AI Agents can provide real, measurable value.
Translate ambiguous business problems into clear AI use cases, MVP definitions, solution designs, success metrics, and rollout plans.
Lead the lifecycle of GenAI-driven applications and Agents, transitioning rapidly from initial concept and technical feasibility to full enterprise-grade production rollouts.
Build and configure AI-powered solutions, including agentic workflows, workflow automations, RAG-based tools, decision-support tools, and integrations with internal systems.
Conduct technical audits of emerging AI technologies, leading "Build vs. Buy" analyses to ensure global scalability, security, and measurable value to the organization.
Run training and enablement sessions for both technical and non-technical teams, fostering a culture of AI literacy and ensuring the organization can leverage new tools effectively.
Build and evolve the Enterprise AI technology stack, continuously scouting and integrating next-generation platforms, LLM orchestration tools, and agentic frameworks.
Serve as the primary technical liaison between IS, IT, Legal, and Data teams to ensure AI solutions are securely integrated and compliant with enterprise standards.
Be a product owner of enterprise AI platforms, driving continuous solution adoption, impact measurement, and performance optimization across the organization.
דרישות:
5+ years in a technical role such as software engineering, solutions engineering, automation engineering, AI engineering, business application implementation, or a similar hands-on role, including 1+ years delivering AI, GenAI, agentic, or automation solutions for business or operational users.
A clear builder track record: you have shipped tools, automations, workflows, internal products, or prototypes that people actually used.
Deep, hands-on understanding of the LLM lifecycle, including Prompt Engineering, Retrieval-Augmented Generation (RAG), fine-tuning strategies, AI agents, tool use, human-in-the-loop workflows, evaluations, and responsible AI patterns.
Proven experience in implementing Enterprise GenAI platforms (e.g., Gemini Enterprise, Claude Chat).
Hands-on experience developing agentic workflows on top of agentic framework tools like Google ADK, AgentCore, and low-code platforms (Workato)
Proven experience developing GTM-related projects, mainly around sales and marketing.
Proven knowledge of GTM best practices and technology.
Proven project management skills and a demonstrated product management mindset, including the ability to define MVPs, prioritize, separate nice-to-have ideas from high-value use cases, and measure outcomes.
Strong discovery skills with non-technical stakeholders: you can map how work happens today and redesign it around AI, automation, and human accountability.
Excellent communication skills: able to explain technical tradeoffs to business stakeholders and business context to technical teams, and to run training and enablement sessions.
Strong ownership and execution, with creative, out-of-the-box thinking: comfortable moving from ambiguous problems to working solutions, with a focus on business impact and the ability to run and react fast.
Full-stack Web development experienc המשרה מיועדת לנשים ולגברים כאחד.
 
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Location: Netanya
Job Type: Full Time
As a Senior Data Infra Engineer, you'll be a key part of our data platform team, responsible for designing, building, and maintaining robust and scalable data pipelines. You'll work closely with data scientists, analysts, and server side engineers to ensure our data is reliable, accessible, and ready for analysis. Your expertise will be crucial in expanding our data warehouse and data lake capabilities, enabling us to deliver next-generation ad tech solutions.

Your mission will be to:

Develop and Optimize Data Pipelines: Design, build, and maintain ETL/ELT pipelines using Apache Spark to ingest, process, and transform large-scale datasets from various sources.
Manage Cloud Infrastructure: Architect and manage our data infrastructure primarily on Google Cloud Platform (GCP) or Amazon Web Services (AWS). This includes services like BigQuery, S3, GCS, EMR, and AirFlow.
Enhance Data Storage: Improve and manage our data warehouse and data lake solutions, ensuring data quality, consistency, and accessibility for business intelligence and machine learning applications.
Collaborate and Innovate: Partner with cross-functional teams to understand data needs and implement solutions that support new product features and business initiatives.
Ensure Data Integrity: Implement monitoring, alerting, and logging systems to maintain data pipeline health and ensure data accuracy.
Requirements:
5+ years of data engineering experience, building and operating production data pipelines at scale (TB+ datasets, hourly/daily batch or streaming workloads).
Hands-on production experience with Apache Spark and distributed data processing frameworks such as Flink, Hive, or Trino. Strong understanding of large-scale batch and streaming pipelines, including performance tuning and troubleshooting. Language is not a filter: Scala, Python, or Java are all fine. What matters is that you can debug and ship production Spark code, not which language you write it in
Production experience building and operating data solutions on GCP or AWS, including cloud-native services such as BigQuery, Dataproc, GCS, S3, EMR, or Redshift. Experience across the full project lifecycle is preferred.
Production experience with Kafka or Kafka-compatible streaming platforms, including the development, operation, and troubleshooting of real-time data pipelines, as well as debugging production incidents involving consumer lag, partition rebalancing, or data loss.
Strong understanding of data warehouse and data lake concepts, including Medallion Architecture (Bronze, Silver, Gold) and data platform best practices.
This position is open to all candidates.
 
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10/09/2026
חברה חסויה
Location: Netanya
Job Type: Full Time
We are looking for an MLOps Team Leadto drive the development of an internal machine learning platform for a group of ML teams. This is a hands-on leadership role: you will guide a small team of MLOps engineers that builds the automation and infrastructure powering our research (R&D) workflows and runs our pipelines to production. You will take ownership of end-to-end initiatives and drive the team toward critical infrastructure and model-lifecycle milestones, while staying close enough to the code to set technical direction and raise the bar by example.

You will be responsible for building and maintaining the models and data pipelines behind our data science workflows, ensuring the accuracy, consistency, and efficiency of the data used for training and inference, working across structured and unstructured data from many sources on a large-scale, distributed platform.

Responsibilities:

Lead, mentor, and grow a team of MLOps engineers, owning delivery and technical quality.
Take end-to-end ownership of infrastructure and pipeline initiatives across the LMM group, from design through production.
Stay hands-on: contribute to design and code, review work, and set engineering standards.
Drive the team through critical milestones in ML model-lifecycle and infrastructure ownership.
Partner with R&D and other stakeholders to translate research needs into robust, scalable systems.
Help evolve the platform, including our ongoing migration from Dask to Ray.
Requirements:
BSc or Master's degree in Computer Science, Mathematics, or Engineering.
At least 5 years of commercial experience in Python.
At least 3 years of hands-on commercial MLOps experience in production (not side projects).
Experience managing or leading a team of engineers, with ownership of both people and delivery.
Hands-on experience owning the ML model lifecycle (training, deployment, monitoring, retraining).
Experience with pipeline orchestrators such as Dagster or Airflow.
Experience with a major cloud provider such as GCP, AWS, or Azure.
Experience with distributed computing systems.
Experience with Docker.
Experience with Kubernetes.
Commercial experience writing and maintaining scalable ML systems.
Fluent in English, both written and spoken.
This position is open to all candidates.
 
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10/09/2026
חברה חסויה
Location: Netanya
Job Type: Full Time
we are transforming our internal infrastructure into a high-velocity, self-service product. This is a senior opportunity to architect the future of our platform, setting the technical standard for how we deliver services while ensuring reliability and developer independence across diverse global markets.

Responsabilities:

Self-service enablement: Build secure, automated pathways that accelerate development while keeping organizational standards intact.
Architectural modularization: Design Kubernetes-native abstractions - controllers and operators - and decouple infrastructure into independent service lifecycles that support rapid iteration.
Everything as code: Treat infrastructure, policy, and configuration with the same SDLC as application software - versioned, reviewed, tested, and CI-gated.
Proactive reliability: Own production through robust observability, clear SLOs, and high operational hygiene; define alerting that fires correctly and lead blameless postmortems that fix the system.
Requirements:
Strong GCP experience at production scale (GKE, IAM, networking, Cloud SQL/BigQuery). No compromise here.
Kubernetes-native mindset: declarative-first, comfortable with controllers and operators, and a platform-engineering instinct for self-service and separation of concerns.
Everything-as-code discipline: any code ships through a defined SDLC (versioned, reviewed, tested, CI-gated). Terraform (KCC a plus), Helm, GitOps (ArgoCD or similar) in your toolkit.
Software engineering background, or proven strong development ability in Go and/or Python - you write production code, not just glue scripts.
Security awareness baked into how you build: least-privilege IAM, secret hygiene, policy and supply-chain gates, not bolted on after.
Production-first mindset: you design for reliability, observability, and recoverability, and you own what you ship.
This position is open to all candidates.
 
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לפני 11 שעות
חברה חסויה
Location: Netanya
Job Type: Full Time
We are seeking a visionary Director of Engineering with a strong product mindset to lead the strategy, development, and scaling of our subscription management products.

As a Director of Engineering , you will...
Build, lead, and mentor multiple cross-functional teams of managers and developers to deliver a scalable and reliable product
Foster a culture of collaboration, automation, and continuous improvement within the engineering organization
Define and implement procedures and workflows that will enable rapid innovation while ensuring enterprise-grade quality of the delivered product
Own the AI enablement vision for your organization: identify where AI can meaningfully accelerate the software development lifecycle, build the roadmap, and drive hands-on execution
Act as a key partner to business stakeholders-product, sales, finance, and executive leadership-in translating business goals into engineering strategy and representing engineering priorities in company-wide decisions
Partner with engineering leaders, product teams, and business stakeholders to ensure successful product adoption by customers
Requirements:
10+ years of experience in software engineering, with at least 5 years in leadership roles managing diverse R&D teams (including managing managers)
Exceptional leadership, communication, and stakeholder and customer management skills
Proven track record of delivering scalable cloud / SaaS services and operating in multi-cloud (AWS, Azure, GCP) and hybrid-cloud environments - advantage
Experience working in Agile or DevOps-focused organizations
Passion for empowering developers and enabling productivity through platform engineering
This position is open to all candidates.
 
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10/09/2026
Location: Netanya
Job Type: Full Time
We are looking for an experienced and hands-on ATE Engineer to design, develop, and maintain the data and software infrastructure supporting our Automated Test Equipment (ATE) environments. In this role, you will establish the database architecture, data pipelines, reporting tools, and infrastructure required for electronic card testing, system-level testing, and radar calibration of advanced radar systems. Key Responsibilities:
* Design and maintain the ATE database and software infrastructure.
* Develop data pipelines, APIs, and integrations for ATE systems.
* Build BI dashboards and reports for production and test data.
* Ensure data integrity, traceability, backup, and availability.
* Support deployment across production sites and secured networks.
* Collaborate with ATE, Production, IT, Quality, and Cybersecurity teams.
Requirements:
* B.Sc. in Computer Science, Software Engineering, Information Systems, or a related field.
* At least 3 years of hands-on experience in database, BI, data engineering, or software infrastructure.
* Strong Python and SQL skills, including database design and performance optimization.
* Experience with ETL/ELT, APIs, data integration, and BI tools—preferably Power BI.
* Experience deploying and supporting data solutions in production environments.
* Strong system-oriented thinking, troubleshooting, communication, and documentation skills.
* Knowledge CI/CD pipelines, automated testing, packaging, and software deployment - Advantage
* Knowledge in Git, including branching strategies, code reviews, release management, and serving as an ATE team Git Master - Advantage
This position is open to all candidates.
 
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16/09/2026
חברה חסויה
Location: Netanya
Job Type: Full Time
We are looking for a Software Automation Engineer to join our QA team and to take part in the testing process from planning to execution.
Responsibilities:
Responsible for QA processes, testing and release to production of multiple SaaS products.
Build the test plan for the products.
Identify the risks and appropriate test coverage to validate new features as well as regression and develop test plans and cases.
Lead the test execution and preparation for release.
Execute test cases, manually or in an automated fashion, capture and analyze the results, document issues and prepare test reports.
Work with the R&D and Product to deliver high-quality tested SaaS products.
Write test automation for APIs, UI and stress-testing, as an integrated member of an agile R&D team, building a robust application.
Take responsibility for the quality delivery of product releases.
Participate in defining and optimizing the R&D work processes.
Requirements:
Bachelors Degree in a Science or Engineering related discipline.
Scripting and coding skills and experience with one of the following: JavaScript / Python / PHP / Go / Java / equivalent.
Good understanding of databases, data structures with emphasize on RDBMS (SQL).
Practical Experience in Software QA - Advantage.
Experience using Playwright, Jest, Selenium, Postman and similar tools - Advantage.
Thorough and diligent personality.
Ability to multi-task and meet deadlines.
Able to work well independently but must also work as part of a team.
Strong organizational management and planning skills.
Good interpersonal, written, and oral communication skills in English.
Personal Qualities:
Passionate about learning and always seeking opportunities to expand your knowledge
A self-starter with great instincts and the ability to discern upcoming needs
Outgoing and personable and takes pride in being a positive, helpful presence around the office
A team player with the time management and organizational skills to work independently as well
This position is open to all candidates.
 
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