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משרה בלעדית
לפני 8 שעות
מיקום המשרה: מספר מקומות
סוג משרה: משרה מלאה
פיתוח מקצה לקצה של מערכות מתקדמות מבוססות ML DL ו AI, החל משלבי האפיון ועד להעלאה לסביבת ייצור. העבודה תתבצע עם מודלים מתקדמים, תשתיות דאטה וארכיטקטורות סקיילביליות בסביבות ענן.

תחומי אחריות עיקריים:

- פיתוח והטמעת מודלים מבוססי ML DL ו AI.
- ניתוח נתונים מורכבים והסקת מסקנות עסקיות קריטיות
- יישום מודלים מתקדמים כגון Boosting, Random Forest, GLM, Regression, Clustering, PCA
- פיתוח והטמעת שירותים סביב LLMs, Data pipelines, APIs ותשתיות ליבה

מסגרת המשרה:

- משרה מלאה
- ימי ראשון- חמישי
- גמישות אפשרית בשעות (לא קיימת עבודה מרחוק)
- ישיבה במשרדי החברה - געש, הגעה עצמאית
- עבודה בצוות
- עבודה בכפיפות למנהלת מחלקה.
דרישות:
השכלה:
- תואר ראשון רלוונטי.

ניסיון מקצועי (חובה):

- 2+ שנות ניסיון בפיתוח פתרונות AI
- ניסיון עם LLM, כולל עבודה מול OpenAI וAzure OpenAI
- ניסיון בפיתוח Backend וAPI
- ניסיון בעבודה בסביבות ענן
- ניסיון ב-RAG וVector Databases

כישורים טכניים (חובה):
- יכולת אנליטית גבוהה וחשיבה יצירתית לפתרון בעיות עסקיות
- הבנה מעמיקה בעולמות ML, Deep Learning, AI, דאטה וSQL
- פיתוח ב-Python ושימוש בספריות Numpy, Pandas, Scikit-Learn, PyTorch
- ניהול prompting מתקדם: safety filters, guardrails, versioning וארכיטקטורה מותאמת לניסויים
- עבודה מול ספקי מודלים שונים, Caching, Fallbacks ואופטימיזציית עלות מול ביצועים
- ראייה תצפיתית (observability): לוגים, מטריקות, ודשבורדים
- ידע באבטחה: Authorization and Authentication
- ניסיון עם MCP, בניית Tools ועבודה עם מודלים מולטימודליים
- אנגלית ברמה גבוהה - חובה
* המשרה מיועדת לנשים ולגברים כאחד.
 
עוד...
הגשת מועמדות
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8606014
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Location: Netanya
Job Type: Full Time and Hybrid work
We are looking for an enthusiastic AI Solution Manager who is a builder at heart and a changemaker by nature. In this role, you will be the catalyst for innovation, bridging the gap between ambitious business goals and actual technical delivery.
You wont just manage tasks; you will own the solution from idea to impact. We are looking for someone with a relentless curiosity to learn new tools, a passion for automation, and the drive to revolutionize our workflows. You will partner with stakeholders to design, prioritize, and build agentic AI flows that change the way we work.
What will you do?
Design & Build (Hands-on): Actively design and configure AI agents and automated workflows using low-code/no-code platforms. You turn concepts into working prototypes.
Product Ownership: Take ownership of AI initiatives. Define the scope, manage the timeline, and prioritize tasks based on business value and potential ROI. Ensure we are building the right things.
Stakeholder Partnership: Collaborate with business leaders to identify pain points. act as a trusted advisor who understands their needs and translates them into technical reality.
Drive Innovation: Be the companys "AI Radar." Constantly explore new tools and models, bringing fresh ideas to the table and challenging the status quo to improve efficiency.
Optimization & Impact: Don't just launch and forget. Monitor the performance of your solutions, troubleshoot issues, and iterate to ensure they deliver continuous value.
Requirements:
What will you bring to the team?
The "Builder" Attitude: You love creating things. You have experience leveraging automation platforms (n8n, Zapier, Make, Workato) to solve real problems.
Passion for Learning: The AI landscape changes weekly. You are a self-learner who thrives on keeping up with the latest GenAI trends, tools, and techniques.
Structured Thinking (PM Skills): You can manage a project from A to Z. You know how to break down a complex problem into manageable steps, set expectations, and drive execution.
Change Agent: You enjoy helping people adapt to new technologies. You have the communication skills to get teams excited about automation and the patience to guide them through the change.
Tech-Savvy: You understand the logic of data and software (APIs, JSON, Logic Flows) even if you aren't writing code from scratch every day.
Bonus Points (Nice to Have)
Coding Skills: Ability to read/write Python or JavaScript for custom scripts and advanced manipulations.
Advanced Platforms: Experience with enterprise-grade tools like Airflow, Workato, or Retool.
Experience in a Product Management or Technical Project Management role.
Why This Role?
Be a Pioneer: You will have a direct hand in shaping the future of how our company operates.
Autonomy & Impact: We give you the tools and the mandate to make a difference.
Forefront of AI: Work daily with the absolute latest in Agentic workflows and LLM capabilities.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8601629
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Location: Netanya
Job Type: Full Time
Required Software Engineer, Gen AI
About The Position
As the founding member of our Generative AI team, you will design, develop, and deploy AI-powered solutions that integrate with our existing B2B SaaS products. This role combines hands-on development with strategic leadership to build production-ready AI capabilities that deliver business value.
Key Responsibilities:
Design and implement generative AI solutions that integrate with our existing B2B SaaS applications
Develop end-to-end AI systems from research and experimentation to production deployment
Create APIs and integration points between AI capabilities and our product ecosystem
Establish best practices, coding standards, and testing methodologies for AI development
Evaluate and select appropriate AI technologies and frameworks for business needs
Collaborate with product, UX/UI, and data teams to deliver cohesive AI features
Optimize AI system performance and resource utilization in production environments
Implement monitoring and maintenance protocols for deployed AI solutions
What We Offer:
Opportunity to shape the direction of AI integration across our product portfolio
Significant autonomy and influence as the founding member of our AI team
Direct collaboration with senior leadership to align AI initiatives with business strategy
Growth potential as we expand our AI capabilities and team.
Requirements:
5+ years of software development experience across multiple technology stacks
Strong Python programming skills
Proficiency in TypeScript for frontend integration of AI features
Proven experience developing and deploying generative AI applications in production environments
Hands-on experience with large language models (LLMs), fine-tuning, and prompt engineering
Knowledge of microservice architecture and cloud-based deployment
Experience with containerization (Docker), orchestration (Kubernetes), and CI/CD pipelines
Strong understanding of RESTful APIs and modern web development practices
Solid software engineering fundamentals including version control, testing, and code review
Preferred Qualifications:
Experience in B2B SaaS environments
Knowledge of ML operations (MLOps) practices and tools
Familiarity with vector databases and semantic search technologies
Experience with Retrieval Augmented Generation (RAG) and other advanced AI techniques
Technical leadership experience
Degree in Computer Science, AI, or related field.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8599222
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מודים לך שלקחת חלק בשיפור התוכן שלנו :)
30/03/2026
Location: Tel Aviv-Yafo and Netanya
Job Type: Full Time
Were looking for a Director of AI Product Management to lead AI Assistant, MCP Server, and the evolution of agentic capabilities across the platform. This is a unique opportunity to shape how developers and organizations build, secure, and deliver software with the help of intelligent, autonomous experiences.
As a Director of AI Product Management , you will...
Define and drive the AI strategy for platform, focusing on assistant capabilities, model integration, and developer intelligence.
Lead and mentor a team of AI-focused product managers, empowering them to deliver transformative experiences across products.
Own the vision, roadmap, and execution for AI Assistant, MCP Server, and agentic experiences.
Partner with engineering, data, and design teams to build production-ready AI systems, integrating LLMs and reasoning models into developer workflows.
Shape the AI platform architecture - ensuring context awareness, privacy, and responsible model usage across all environments.
Collaborate with Go-To-Market and Customer Success teams to identify high-impact AI use cases that drive adoption, productivity, and differentiation.
Establish a culture of experimentation and measurement - defining metrics for AI engagement, success rate, and business impact.
Stay ahead of industry trends in LLMs, AI agents, and DevOps automation, bringing fresh thinking into platform vision.
Collaborate with technical teams, business stakeholders, and cross-functional product leaders to deliver a unified development platform.
Requirements:
4+ years as director of product management in medium/large (500+) companies
7+ years of product management experience
Proven success leading AI product initiatives, such as assistants, copilots, or LLM-integrated workflows - Advantage
Strong technical background - experience in engineering, R&D, or deep technical product leadership
Excellent interpersonal and communication skills, with the ability to drive agendas across departments and foster effective collaboration with partners
Data-driven decision-making skills with a passion for building customer-centric products
Past experience in DevOps/DevSec Ops - Big Advantage
Growth mindset - continuous focus on learning AI industry trends
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8571741
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30/03/2026
Location: Tel Aviv-Yafo and Netanya
Job Type: Full Time
Join CIO Architect team and shape the future of AI! We're seeking a hands-on AI Solutions Lead 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 requirements gathering through execution and widespread adoption, serving as the central point of contact between business, IT, and Data teams. You'll also stay at the forefront of the latest AI technologies.
As an AI Solutions specialist (CIO Group) you will
Collaborate with cross-functional teams to diagnose challenges and opportunities where GenAI and AI Agent can provide real, measurable value.
Lead the lifecycle of GenAI-driven applications and Autonomous Agents, transitioning rapidly from initial concept and technical feasibility to full enterprise-grade production roll-outs.
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.
Own the long-term roadmap and administration of enterprise AI platforms, driving continuous solution adoption, impact measurement, and performance optimization across the organization.
Requirements:
Deep understanding of the LLM lifecycle, including Prompt Engineering, Retrieval-Augmented Generation (RAG), and fine-tuning strategies.
Hands-on experience developing Agentic workflows, on top of Agentic framework tools like Google ADK, AgentCore, n8n, Workato, to build autonomous agentic workflows.
Full-stack Web development experience, proven mastery of coding agents tools and vice coding best practices.
proficiency in designing and implementing secure integration patterns. This includes deep experience with RESTful APIs and JSON data modeling, modern authentication via OAuth 2.0/OIDC, and emerging standards like Model Context Protocol (MCP).
Business applications development/implementation experience, mainly Salesforce core, Salesforce data cloud, and Agentforce - advantage.
Proven knowledge of customer support, sales, and marketing processes and business technology.
Proven project management skills and demonstrated product management mindset.
Great communication skills and ability to provide training and enablement sessions.
Creative and out-of-the-box thinking, focus on business impact and value to the organization, andthe ability to run and react fast.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8579723
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30/03/2026
Location: Tel Aviv-Yafo and Netanya
Job Type: Full Time
We are seeking an experienced, hands-on Senior AI Engineer to join the Generative AI applications Platform group and lead the backend implementation and architecture of AI/LLM solutions - from agent graphs and tooling to RAG, streaming, and production deployment.
As a Senior ML Engineer you will
Design and own agent architectures - Build and evolve graph-based agent workflows (multi-node LLM flows, tool execution, routing, human-in-the-loop review gates) using LangGraph, with clear state schemas, checkpointing, and streaming to production.
Turn product and user needs into backend AI - Work with Engineers, Product, and Analysts to translate business problems into technical requirements and implementations, including agent types, tools, RAG pipelines, and configuration-driven behavior.
Design, develop, and deploy GenAI capabilities end-to-end - LangChain tools and integrations, RAG (retrievers, vector stores, agentic flows), structured outputs, and APIs for chat, Copilot-style integrations, and MCP.
Raise the bar on quality and reliability - Establish patterns for observability (e.g., LangSmith), error handling, content safety, bounded autonomy (tool schemas, review workflows), and evaluation systems so that AI behavior is predictable and auditable.
Mentor and align the team - Provide technical guidance on LLM backend architecture and LangGraph/LangChain best practices so the team can iterate quickly and safely.
Requirements:
Backend-LLM & agent architecture - 5+ years in production ML/AI and backend systems; recent hands-on experience with backend LLM systems, including agent workflows (e.g., LangGraph or similar), LangChain tooling and chains, state management, and streaming (e.g., SSE). You think in terms of nodes, state schemas, routing, and human-in-the-loop.
Technical stack - Proficient in Python; comfortable with LangGraph, LangChain, FastAPI, PostgreSQL, and optionally Azure AI Search or similar. Experience with LLM providers (OpenAI/Azure, Google Vertex AI, etc.) and RAG (retrievers, chunking, reranking) expected.
Generative AI in production - Proven track record building production GenAI applications, including multi-step agents, RAG, tool-augmented LLMs, and ideally human-in-the-loop or review flows. You care about observability, validation, and safe rollout.
Bachelor's degree or higher in Computer Science or a related field, and strong communication and collaboration skills.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
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