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דרושים באורית קרבצ'יק שירותי משאבי אנוש
Job Type: Full Time
Large enterprise group is looking for an AI Forward Deployed Engineer to bridge business and technology and deliver end-to-end AI solutions with measurable impact.

Role Description

Identify and own high-impact AI use cases end-to-end
Design, build, and deploy AI solutions (LLMs, agents, RAG, automation)
Translate business needs into scalable technical solutions
Ensure adoption, trust, and measurable ROI
Work closely with business and technical stakeholders
Drive rapid iteration and internal AI capability building
Requirements:
2-3+ years hands-on software engineering experience in production systems - required
Proven experience deploying AI solutions (LLMs, agents, RAG, AI tools) - required
Strong backend and data engineering skills ( Python, APIs, data pipelines) - required
Product and business mindset focused on outcomes and impact
Ability to work independently in ambiguous, fast-changing environments
Strong communication with technical and non-technical stakeholders
Strong English (written and spoken)
This position is open to all candidates.
 
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לפני 4 שעות
דרושים בקבוצת שטראוס
Location: Petah Tikva
Job Type: Full Time
- Partner with business units and tech teams to identify and prioritize AI use cases
- Own AI initiatives end?to?end: from problem definition to deployment and impact measurement
- Deploy and adapt AI solutions to fit real operational workflows
- Drive user adoption through training, iteration, and feedback
- Support continuous improvement and scaling of successful solutions
Requirements:
Experience:
2-3+ years of hands?on experience in software engineering, data, analytics, or applied AI roles.
Proven experience deploying AI?based or data?driven solutions in production environments.


Technical Skills:
Programming and backend experience.
Experience with AI technologies such as LLMs, automation, agents, or advanced analytics.
Ability to work with existing data sources and enterprise systems.

Business Personal Skills:
Strong business orientation and problem?solving skills.
Comfortable working in cross?functional environments.
High level of ownership and accountability.
Strong communication skills with technical and non?technical stakeholders.
Fluent written and spoken English.
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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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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27/04/2026
חברה חסויה
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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12/04/2026
Location: Herzliya
Job Type: Full Time and Hybrid work
We are looking for an AI Enablement Tech Lead to lead the development of AI-native data capabilities and drive the adoption of AI across analytics workflows.
This role is part of the Analytics & AI Enablement group within the data department and is responsible for establishing the foundational data and AI capabilities that support advanced use cases, including chat with data, autonomous analytics, and AI-driven decision-making.
You will act as a technical and strategic bridge between data, engineering, and AI platform teams - owning the design of AI-ready data layers, and taking a significant part in the specification and orchestration of data-ready agent solutions and analytical workflows, from ideation to production.
You are a hands-on builder and a transformation leader, with proven experience delivering AI solutions and a strong foundation in data and analytics.
Hybrid
Full-time
What youll do: 
Define and build AI-ready data foundations, including semantic layers optimized for LLM and AI consumption
Design and standardize AI-native analytics workflows, combining data modeling, LLMs, and orchestration frameworks
Partner with Data Engineering and AI platform teams to shape infrastructure, tooling, and data interfaces for AI use
Drive experimentation with new AI capabilities and rapidly iterate from POC to scalable solutions
Establish best practices for AI usage in analytics, including prompt design, evaluation, monitoring, and governance
Act as a technical leader and mentor, driving AI knowledge and adoption across the analytics community.
Requirements:
5+ years of experience in data roles (Analytics / BI / Data Modeling or similar)
Proven hands-on experience building and deploying AI solutions (GenAI, LLMs, agents, or ML systems)
Strong understanding of how data modeling and semantic layers support AI applications
Experience designing end-to-end AI workflows, including data preparation, orchestration, and production deployment
Familiarity with modern AI stack (LLMs, vector databases, embeddings, orchestration frameworks)
Experience taking AI initiatives from POC/MVP to scalable production systems
Strong problem-solving skills and ability to translate business needs into AI-driven solutions
Excellent collaboration skills, working across Data, Engineering, and AI teams
Comfortable operating in ambiguity and driving innovation in a fast-evolving space
Advantage: Experience building data solutions tailored for agent-based consumption (e.g., chat with your data use cases), including preparing structured, reliable, and accessible data layers for AI agents.
This position is open to all candidates.
 
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חברה חסויה
Location: Petah Tikva
Job Type: Full Time
Come join the company team as a Staff AI Engineer.
Our Data Exchange group is responsible for acquiring millions of transactions and statements a day to satisfy our customers needs in all our company products.
You will utilize your skills to help develop and maintain backend services leveraging AI and machine learning models, using both analytical algorithms and deep learning approaches, to acquire data from financial institutions on behalf of our users.
Responsibilities
Lead and apply best practices in AI driven software lifecycle management, from ideation, through development and evaluation to production deployment.
Build a backend service with AI in its core at scale (millions of users and requests daily)
Collaborate with stakeholders to define success criteria and align model metrics with business goals
Work side-by-side with product managers, business analytics, data scientists, and backend engineers in enabling AI solutions for business use cases
Explore the state-of-the-art technologies and apply them to deliver customer benefits.
Requirements:
8+ years industry experience
2+ years industry experience bringing AI models from modeling to production
Expertise and experience in data mining algorithms and statistical modeling techniques such as classification, regression, clustering, anomaly detection, and text mining
Strong understanding of the Software design and architecture process
Experienced with working in cloud production-grade high-scale microservices environment
Languages such as Python & Java
Building and maintaining AI based applications at scale in production
Experience with agentic systems or multi-agent orchestration in AI workflows and AI observability practices.
Exposure to Knowledge Graphs, RAG (Retrieval-Augmented Generation), or semantic search.
Understanding of AI infrastructure components, including the prompt lifecycle, fallback logic, and feature-level configuration.
Excellent oral and written English communication skills: demonstrated ability to explain complex technical issues to both technical and non-technical audiences
BS, MS in an appropriate technology field (Computer Science, Statistics, Applied Math, Operations Research), or equivalent work experience
Advantage:
Data science model training:
Well versed in Data Science languages, tools and frameworks, including data processing platforms and distributed computing systems (for example Python, R, SQL, SKLearn, NumPy, Pandas, TensorFlow, Keras)
Familiarity with vector database
Machine Learning experience.
This position is open to all candidates.
 
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10/04/2026
חברה חסויה
Location: Petah Tikva
Job Type: Full Time and Hybrid work
- Drive technical decisions around AI evaluation frameworks, monitoring, and observability tools
- Design, build, and deploy AI-powered solutions across yad2s products and platforms
- Work hands-on with Large Language Models (LLMs), retrieval-augmented generation (RAG), embeddings, vector databases, and prompt engineering
- Develop scalable backend services that integrate AI capabilities into production
- Collaborate closely with product, data, and engineering teams to identify high-impact AI opportunities
- Lead by example: write clean, high-quality code, set best practices, and help shape the foundation of the AI team
Requirements:
- Strong software engineering background - solid experience with Python or Node.js, microservices, APIs, and cloud environments (AWS preferred)
- Hands-on AI experience - building and deploying applications with LLMs (OpenAI, Anthropic, HuggingFace, etc.) and generative AI technologies
- Knowledge of Machine Learning fundamentals ( data preprocessing, model fine-tuning, evaluation)
- Experience with vector databases (e.g., Pinecone, Weaviate, FAISS) and search/recommendation systems is a big plus
- Ability to thrive in ambiguity, take ownership, and move fast in a startup-like environment
- Prior experience in building or scaling AI/ML infrastructure in production - an advantage
- Understanding of AI evaluation methodologies and metrics
This position is open to all candidates.
 
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10/05/2026
חברה חסויה
Location: Herzliya
Job Type: Full Time
we are a leading software development and technology consulting company, partnering with startups and enterprise organizations to deliver innovative, production-grade solutions across cloud, AI, cybersecurity, data, and digital platforms. We are expanding our AI engineering capabilities and looking for a Senior AI / Agentic Systems Engineer to lead the design and implementation of advanced agentic systems that solve real-world engineering and operational challenges. This role combines hands-on software engineering, LLM systems design, MLOps, and platform thinking. You will work closely with engineering teams, architects, and customers to build scalable AI-driven solutions that move beyond experimentation into reliable production environments.
Requirements:
5+ years of hands-on software engineering experience. Proven experience building and deploying LLM-powered applications or agentic systems in production environments. Strong experience with Python backend development. Hands-on experience with frameworks such as LangGraph, CrewAI, LangChain, or custom agent orchestration systems. Strong understanding of RAG architectures, prompt engineering, tool calling, memory management, and model evaluation methodologies. Experience with cloud-native systems, APIs, CI/CD pipelines, debugging, and distributed architectures. Ability to design scalable, maintainable, and secure AI-driven systems. Strong communication skills and ability to work in customer-facing technical environments.
This position is open to all candidates.
 
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Location: Kefar Sava
Job Type: Full Time
We are looking for a Backend Prompt Engineer with 4+ years of backend experience and proven hands on delivery of GenAI powered features in production environments.

This is not a research or experimentation role. Prompt engineering in our company is system design. You will design reliable, scalable, production ready LLM workflows that power real customer facing capabilities inside a complex distributed platform.

You will work closely with backend engineers, product managers, and architects to integrate LLM based intelligence into core business flows.

Location: Kfar Saba, Israel.

Reporting to: AI Team Lead.

Roles and Responsibilities
Design, implement, and continuously improve prompts for LLM driven product features.
Architect and develop backend services in Python.
Integrate LLM APIs such as OpenAI, Anthropic, and AWS Bedrock into production systems.
Implement structured output enforcement, schema validation, and response normalization.
Design robust error handling, fallback strategies, retries, and resiliency mechanisms.
Optimize latency, token usage, throughput, and API cost efficiency.
Build evaluation frameworks and quality control pipelines for AI outputs.
Collaborate with Product and Engineering teams to deliver AI features end to end within us.
Requirements:
Knowledge and Experience
4+ years of backend development experience with strong proficiency in Python.
Proven hands on experience building and shipping GenAI powered features to production.
Strong experience with Python GenAI frameworks such as LangChain, LangGraph, Strands, or similar orchestration frameworks.
Experience integrating LLM APIs into live distributed systems.
Experience implementing structured outputs, validation layers, and guardrails.
Familiarity with evaluation frameworks and LLM quality measurement techniques.
Experience building RESTful APIs.
Strong understanding of clean architecture, scalability, and production best practices.

Advantages
Experience designing and implementing RAG pipelines.
Experience with MCP servers, A2A architectures, or multi agent systems.
Experience working with embeddings and vector databases.
Proficiency in TypeScript (Node.js or ReactJS).
Experience with AI observability, monitoring, and evaluation tooling.
This position is open to all candidates.
 
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לפני 23 שעות
חברה חסויה
Location: Netanya
Job Type: Full Time
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.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8654572
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