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2 ימים
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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לפני 7 שעות
חברה חסויה
Location: Herzliya
Job Type: Full Time
Fire-Arc is an innovative, data-oriented, high-tech company that owns, develops, and publishes multi-platform digital Assets. All our products and content coordinate together to create unique monetization solutions and advanced revenue streams for digital properties. We are expanding our teams and are focused on adding like-minded, result-oriented, and high-achieving talents. We’re looking for a Mid-Level Client Developer with strong leadership capabilities, extensive experience building Windows desktop applications , and a passion for mentoring others and solving complex problems.
Impact and Responsibilities
* Lead the design and development of Windows desktop applications using technologies mostly C# (.NET) WPF
* Drive high-quality integrations with AWS services like S3, Lambda (serverless), EC2, DynamoDB and RDS
* Use AI-powered development tools and IDEs (such as GitHub Copilot, Cursor, and similar assistants) as part of the daily workflow to improve development speed, code quality, and problem-solving
* Design, build, and maintain backend services that support and seamlessly integrate with Windows desktop client applications.
* Apply practical experience with Generative AI tools to increase productivity while maintaining strong engineering standards and critical thinking.
* Proactively identify technical and architectural challenges, and craft scalable, secure, and user-centric solutions
* Oversee and enhance application installation, deployment, and update processes with a focus on security and user experience
* Foster a collaborative, respectful work environment , supporting team members and driving alignment with cross-functional teams
* Participate in code reviews and contribute to a culture of quality and shared knowledge
* Continuously monitor and optimize application performance, security, and scalability
* Stay up-to-date with industry trends and recommend new tools, techniques, or improvements to enhance team effectiveness

Brand:
FireArc
Requirements:
3+ years of hands-on experience in Windows desktop application development
* A strong problem-solving mindset and ability to think strategically in fast-paced environments
* Excellent interpersonal and communication skills; ability to guide, support, and inspire others
* Deep understanding of secure software design , especially regarding vulnerabilities in executables and desktop environments
* Experience working with PC application installers , auto-update systems, and secure deployment pipelines
* Proficient with AWS services (S3, Lambda, EC2, DynamoDB)
* Skilled with Git and modern development workflows
* Familiarity with Agile methodologies and SDLC best practices
* Bachelor’s degree in Computer Science or related field
* Fluent English and a proactive, ownership-driven attitude
This position is open to all candidates.
 
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חברה חסויה
Location: Herzliya
Job Type: Full Time
We are seeking a Product Manager with deep expertise in the payments industry You will integrate AI to address challenges in process automation, streamline billing and invoicing processes, and develop flexible pricing models. Your goal will be to enhance the efficiency, accuracy, and scalability of our financial processes, ensuring they meet customer needs and support business growth.
You will collaborate closely with stakeholders from legal, finance, compliance, sales, and finance operations to ensure alignment and success.
You will:
Bring a data-driven mindset to setting goals and milestones for finance-related products, leveraging AI to inform decisions.
Conceptualize and analyze different parts of our infrastructure and how they interrelate.
Create bold, game-changing ideas and deliver solutions for customer problems in the finance domain.
Elicit non-obvious customer needs and synthesize research to gain a deep understanding and narrow definition of a problem.
Co-create with teammates to deliver high-quality results and communicate with clarity.
Comfortable getting into deep technical discussions with engineers about the pros and cons of different approaches.
Automate manual finance processes and streamline distributed workflows.
Establish a Single Source of Truth (SSoT) for finance data and design flexible pricing models.
Develop customer-specific invoice settings and enhance invoice consolidation.
Implement monitoring tools for observability and proactive issue resolution.
Collaborate closely with stakeholders from legal, finance, compliance, sales, and finance operations to ensure alignment and success.
Requirements:
5+ years of experience as a Product Manager or Technical Product Manager at leading SaaS companies with significant growth. Perfectly in the Payment domain.
Proven track record in building and launching scalable and reliable services.
Experience in applying AI to solve complex problems and enhance product features.
High standards for personal contributions and team performance.
Strong collaborative skills and ability to simplify complex issues for effective communication.
Hands-on approach and willingness to tackle challenges directly.
Customer-centric mindset with a history of resolving tough product issues to ensure satisfaction.
BA/BS in Computer Science, Software Engineering, or a related field. Technical understanding must go from the highest software abstractions to detailed implementation.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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01/03/2026
חברה חסויה
Location: Herzliya
Job Type: Full Time
we are an innovative, data -oriented, high-tech company that owns, develops, and publishes multi-platform digital Assets. All our products and content coordinate together to create unique monetization solutions and advanced revenue streams for digital properties. We are expanding our teams and are focused on adding like-minded, result-oriented, and high-achieving talents.
Impact and Responsibilities
* Design, implement, and maintain scalable, secure, and reliable cloud infrastructure on AWS (3+ years of experience required) and GCP (preferred).
* Build and maintain CI/CD pipelines to automate application deployment and infrastructure updates.
* Demonstrate hands-on experience using Generative AI tools (e.g., GitHub Copilot, ChatGPT, Cursor, or similar) to accelerate scripting, infrastructure automation, CI/CD configuration, and operational troubleshooting.
* Automate infrastructure provisioning and management using Infrastructure-as-Code (IaC) tools, with Terraform experience being a must.
* Automate infrastructure provisioning and management with Ansible experience being a must.
* Collaborate with development teams to optimize application performance and reliability.
* Troubleshoot and resolve system, application, and network issues to ensure high availability and reliability.
* Ensure the compliance of our infrastructure with security best practices and standards.
* Leverage advanced networking and proxy configuration expertise to design robust and secure systems.
* Continuously research, evaluate, and implement new technologies to enhance infrastructure efficiency and cost-effectiveness.
Requirements:
* Bachelor's degree in Computer Science or a related field
* 3+ years of experience in DevOps engineering, with a proven track record in building and maintaining production systems.
* Strong experience with AWS (3+ years), including services such as EC2, S3, RDS, ECS/ECR, EKS, Lambda, and VPC configurations.
* Hands-on experience using Generative AI tools (e.g., GitHub Copilot, ChatGPT, Claude, Cursor, or similar) to enhance scripting, automation, troubleshooting, and infrastructure design workflows.
* Experience with GCP - preferred
* Proficiency with Infrastructure-as-Code (IaC) tools like Terraform (a must).
* 2+ years of Python coding experience, with the ability to write scripts for automation, monitoring, and infrastructure management.
* Strong expertise in networking concepts, including proxies, DNS, load balancing, and VPNs.
* Experience with containerization and orchestration technologies like Docker and Kubernetes.
* Proficiency in building and maintaining CI/CD pipelines using tools such as Jenkins, Bitbucket Pipelines, CircleCI or equivalent.
* Strong understanding of Linux systems administration, including troubleshooting, optimization, and security.
* Excellent problem-solving and analytical skills with a proactive mindset.
* Strong communication skills and ability to work both independently and collaboratively.
* Strong communication and collaboration skills.
* Fluent level of English (written and verbal skills).
* Smart, interdisciplinary, fast learner, and a team player.
* Can-do attitude, and proactive approach to problem-solving.
This position is open to all candidates.
 
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2 ימים
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: Herzliya
Job Type: Full Time
We are looking for a software engineer to join our core model team!
The role of the core model team, within the Business Data & Dev group, is to own and maintain the services and business workflows that manage AppsFlyer accounts lifecycle, while ensuring that our customers have a smooth and reliable user experience.

We are looking for an experienced backend engineer with a background in writing resilient and robust production services. Youre familiar with modern microservices architecture, technologies, and best practices. You have a strong problem-solving attitude and a deep sense of accountability, you are a team player, independent, and most importantly, youre passionate about what you do and about making things better.

What youll do:
Develop end-to-end services and features, from gathering requirements and research to implementation, deployment, and monitoring.
Integrate and implement AI flows and solutions into the team and department.
Improve quality and find weaknesses in existing processes and services.
Participate in brainstorming and early-stage designs.
Mentor, advise, and work collaboratively within the group, with other development teams, and with all other business teams in the company.
Continuously learn and follow new technologies both for personal growth and to ensure we are making the most informed technology choices possible.
Requirements:
What you have:
4+ years of experience in backend software engineering.
2+ years of hands-on experience with Node.js and Apache Kafka.
1+ year of experience with AI concepts and tools, integrating AI workflows into backend systems.
Strong server-side development skills with proven experience building services in large-scale production environments.
Proficiency with both SQL and NoSQL databases.
Experience working in public cloud environments (AWS is a strong advantage).
Practical experience with CLI and Docker.
Experience building and maintaining CI/CD pipelines.
A strong team player with a sense of ownership and accountability.
A mindset of continuous learning, curiosity, and openness to trying new technologies.
Ability to understand the big picture, including technical and business perspectives.
B.Sc. in Computer Science or equivalent practical experience.

Bonus points:
Experience in Go/TypeScript.
Understanding of Kubernetes.
This position is open to all candidates.
 
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לפני 5 שעות
חברה חסויה
Location: Herzliya
Job Type: Full Time and Hybrid work
We are seeking a highly skilled Senior Software Engineer to join our team responsible for large‑scale data processing, distributed computation, and performance‑critical backend services. This role is ideal for an experienced backend engineer with a strong Python background who has built and optimized data pipelines at scale. You will design, build, and optimize systems that process large volumes of data using technologies such as Python, Databricks, and modern cloud‑native tooling. This is a senior technical position where architectural thinking, hands‑on coding ability, and ownership of end‑to‑end data workflows are essential.

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

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

Personal Qualities
Ownership mindset and ability to drive initiatives end-to-end.
Strong communication skills, both written and verbal.
Ability to collaborate across teams in a fast-paced environment.
Curiosity, adaptability, and passion for high-quality engineering.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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Location: Herzliya
Job Type: Full Time
Join us at our company, a global fintech leader (NASDAQ; TASE: NYAX) revolutionizing the world of cashless payments, consumer engagement, and business management solutions. With more than 1,200 employees across 12 offices worldwide. At our company, youll be part of a diverse and innovative community where your work makes a real impact and helps shape the future of payments.
Syte is an image recognition solution for retailers in different verticals such as fashion, home, furniture, DIY etc. We offer AI-powered product recommendation and discovery platform. Our solutions include visual search, automated product tagging, advanced personalized recommendations, and more.
We are currently looking for a Senior Machine Learning Engineer to design and implement scalable and integrate machine learning solutions into production. You will work with modern technologies like Node.js, Python, Kafka, MongoDB, and OpenSearch, AirFlow, while driving architectural decisions and CI/CD best practices. This role combines backend engineering excellence with ML deployment expertise.
The Senior Machine Learning Engineer will report directly to the Director of R&D.
Your key responsibilities will include:
Architect and develop MLE services using Python, ensuring high performance, reliability, and scalability.
Collaborate with Data Science teams to productionize ML models (model serving, monitoring, retraining pipelines).
Build and maintain CI/CD pipelines for automated testing, deployment, and monitoring.
Design and implement system architecture for distributed, event-driven systems.
Integrate and optimize Kafka for real-time data streaming and event processing.
Design and manage MongoDB schemas and queries for optimal performance.
Implement and maintain OpenSearch clusters for search and analytics use cases.
Ensure security, observability, and fault tolerance across all services.
Mentor team members and contribute to engineering best practices.
Requirements:
What Makes You a Great Fit:
Minimum 6+ years of backend development experience - Must
Experience with Machine Learning - Must.
Strong expertise in Python for production systems - Must.
Proven experience in system architecture for distributed applications.
Hands-on experience with CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, etc.).
Deep knowledge of Kafka (producers, consumers, partitioning, scaling).
Proficiency with MongoDB (schema design, indexing, aggregation).
Experience with OpenSearch/Elasticsearch (indexing, queries, performance tuning).
Solid understanding of containerization (Docker) and cloud deployment (Kubernetes or similar).
Nice-to-Have
Experience with Argo CD and GitOps workflows, and AirFlow.
Knowledge of ML lifecycle tools (MLflow, Kubeflow, TensorFlow Serving).
Observability stack: Prometheus, Grafana, OpenTelemetry.
Performance optimization and distributed systems troubleshooting.
Tech Stack
Backend: Node.js, Python, REST/GraphQL APIs
Data: MongoDB, Kafka, OpenSearch
Infra: Docker, Kubernetes, CI/CD pipelines
Bonus: Argo CD, Erlang/Elixir, ML deployment frameworks.
This position is open to all candidates.
 
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חברה חסויה
Location: Herzliya
Job Type: Full Time
As a Cloud Architect, you will serve as a technical focal point, driving strategic architectural decisions that shape the future of our globally distributed platform.
Platform & Scale Leadership: Lead the architectural efforts to modernize and significantly scale the companys infrastructure across multiple geographies and heterogeneous cloud providers.
Cross-Organizational Influence: Work with other groups in the organization to deeply understand their needs and translate them into concrete, production-ready capabilities and platform offerings.
Multi-Cloud Data Strategy: Define and champion a comprehensive, petabyte-scale multi-cloud data strategy, ensuring optimal data governance, security, and cost-efficient flow for streaming ingestion, data lakes, and advanced analytics workloads across environments.
Microservices Design & Resilience: Provide high-level architectural oversight for the multi-cloud design patterns of our microservices, focusing on cross-cloud resilience, global traffic management, data locality, and failure domain isolation.
AI Transformation Leadership: Lead the AI transformation initiatives aimed at radically enhancing the developer experience, introducing intelligent automation, and leveraging generative AI models to accelerate software delivery, testing, and operational efficiency.
Strategic Alignment: Foster cross-group alignment and build consensus among engineering leaders and business stakeholders for strategic platform projects, translating complex technical roadmap items into clear, measurable business outcomes.
Architecture Definition: Help define the technical vision, architecture, and long-term directions of the Cloud Platform group and the wider R&D organization.
Engineering Excellence: Be a champion for engineering excellence, setting high standards, mentoring engineers across the group to foster solid architectural principles, and supporting their professional growth.
Architect Forum Participation: Be a key member of the companys architect forum, participate in complex technical discussions, and facilitate effective, org-wide decision-making processes.
Requirements:
What You Have:
10+ years of software development and platform engineering experience, with at least 5 years in technical leadership positions within a large-scale SaaS or distributed systems environment.
Expert-level proficiency in AWS Cloud, with a proven track record of designing, building, and operating scalable, global, high-availability infrastructure.
Deep Multi-Cloud Expertise: Significant, demonstrable experience in designing and implementing systems that span at least two major cloud providers (AWS, GCP, or Azure).
Expert-level knowledge and understanding of Kubernetes internals (operators, controllers, networking, security).
Data Experience: Proven experience designing and optimizing large-scale data platforms, including streaming architectures (Kafka/Kinesis), data warehousing, and distributed file systems.
Deep understanding of CI/CD concepts and their advanced implementations (e.g., GitOps, progressive delivery, from testing to production).
A people person, optimistic, and visionary, with a can-do approach and the ability to lead complex and sensitive decision-making processes in an effective manner while creating a positive, collaborative, and pleasant atmosphere.
Proven experience mentoring and coaching high-potential engineers to develop new skills and grow professionally.

Bonus Points:
Recommended by our employee.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8605638
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חברה חסויה
Location: Herzliya
Job Type: Full Time and Hybrid work
We are looking for an experienced and dynamic Team Lead to manage a talented group of frontend & backend engineers, qa testers and devops. In this role, you will oversee the design , development and delivery of versions of our software to our biggest customer, ensuring that it meets the highest standards of quality and efficiency.
Additionally, you will collaborate closely with stakeholders in the customer team and within the organization, requiring strong communication and leadership skills.
Key Responsibilities:
Lead, mentor, and manage a hybrid team (Onshore & Offshore) of 10 engineers (frontend, backend, quality, devops), fostering a collaborative and high-performance culture.
Oversee our AI-first transformation in your team- moving all coders to do 100% vibe coding
Collaborate with product owners, QA, DevOps, and other team members to deliver high-quality software solutions within an Agile framework.
Ensure the teams not only develop features but also write comprehensive automation tests to validate and cover their work, ensuring high quality and stability.
Ensure designs and implementations align with technical specifications, industry standards, and best practices.
Promote continuous improvement by exploring and adopting new technologies and methodologies.
Provide support for customer and delivery teams in successfully implementing projects based on the platform.
Contribute to all phases of the development lifecycle, from design through deployment to maintenance.
Write well-structured, testable, and efficient code when needed.
Requirements:
Minimum of 5 years of experience managing and leading engineering teams.
Experience in working directly with customers
Recent experience from the past two years and willingness to a 50% or more Vibe Coding.
Strong leadership and interpersonal skills with a customer-focused mindset.
Experience working in Agile/Scrum development environments. Proven experience in server-side/enterprise application development. Ability to work effectively in a dynamic, fast-paced environment. Self-learner with a passion for staying up-to-date with new technologies
Advantage:
Extensive experience with Java 17/21 and the Spring framework. Proficiency with NoSQL databases such as MongoDB.
Solid understanding of clustering and microservices-based architectures. Familiarity with Docker and Kubernetes is an advantage.
Experience with monitoring and logging tools (e.g., Prometheus, Kibana, Grafana, Elasticsearch, Kiali) is a plus.
Proven ability to effectively communicate with offshore clients and stakeholders.
Excellent English communication skills, both written and spoken, with experience working directly with offshore clients
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8589797
סגור
שירות זה פתוח ללקוחות VIP בלבד