AI Native Engineer (Node. js)

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8834291

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18/08/2026

Sr. AI Backend & Data Engineer

חברה חסויה

Location: Herzliya

Job Type: Full Time

We are seeking a candidate who views AI tooling as a fundamental force multiplier in their daily engineering process. This position is central to our transition into an AI-native function, requiring an individual capable of making decisive, pragmatic architectural choices on reversible matters to maintain momentum. We need an experienced builder of production-grade, data-centric systems who is obsessed with delivering customer value and possesses a deep, curious enthusiasm for the transformative potential of AI.
What You Will Build:
AI-Native Systems Development. Design, build, and own scalable data and ML pipelines, backend services, and AI-powered capabilities that are part of the platform's production decision-making layer. AI and ML components are runtime dependencies in this role - not research projects or experiments. Candidates will have strong back end and data engineering skills to thrive in this space.
Daily Shipping. Decompose complex work into safely mergeable increments and ship them daily. Treat large, multi-day pull requests as a risk to momentum. Use feature flags, canary releases, and rollback architecture to manage risk through isolation - not through avoidance.
AI-Augmented Engineering Workflow. Leverage AI-assisted development tooling (code generation, automated testing, architecture prototyping) as a core workflow multiplier. Evaluate and experiment with emerging AI tools and frameworks with direct hands-on engagement. Bring technical depth to AI fluency - architecture and capability tradeoffs, not surface-level awareness.
End-to-End Ownership. Own your work from design through production deployment, operational monitoring, and business impact measurement. Accountability extends beyond the feature to CI/CD pipeline health, observability, cost efficiency, and domain-level outcomes.
Architectural Decision-Making. Make pragmatic, timely architectural choices that balance modern AI and data technologies with reliability, cost, and delivery speed. Distinguish reversible vs. irreversible decisions and move forward without waiting for consensus on the former. Document decisions in lightweight ADRs and own the outcomes.
Cross-Functional Collaboration. Partner with product, design, infrastructure, and GTM teams to translate customer and business needs into technical solutions. Operate with business awareness - understand how your systems impact revenue, customer outcomes, and strategic priorities.

דרישות:
5+ years building and shipping production-grade back end and data systems in distributed cloud environments (AWS and/or GCP).
Hands-on AI/ML integration in production workflows. You have shipped systems where AI, LLM, or agent-based components are part of the production runtime - not just prototypes or research. You can speak to the architectural tradeoffs of integrating AI into live backend systems.
Active use of AI-assisted development tooling as a workflow multiplier. You currently use AI tooling (Copilot, Cursor, or equivalent) to accelerate your engineering output and can articulate specifically how it increases your throughput. You stay current on relevant tooling without being directed to do so.
Strong back end expertise in Java (Spring Boot), Python, and/or Go. Hands-on experience with relational and non-relational databases, data modeling, and query optimization.
Demonstrated expertise in automated testing, CI/CD, and observability.
High-Velocity ownership - candidates should thrive in high-ownership, builder-first environments where shipping daily and owning outcomes are fundamental to the role.
Demonstrated ability to break work into small, incremental deliveries and maintain strong delivery flow. You have a track record of decomposing complex work into small, safely mergeable increments and shipping software solutions to solve customer pain continuously. You can describe your approach to scope deconstruction and provide concrete examples.
Preferred
Experience shipping ML-Ops powered s המשרה מיועדת לנשים ולגברים כאחד.

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31/08/2026

Senior AI Engineer

חברה חסויה

Location: Herzliya

Job Type: Full Time

We're hiring a senior AI Engineer to join our AI team building our autonomous AI agent and helping extend AI capabilities across the company.

What You'll Do

Design and ship our agent systems end-to-end - perception, reasoning, memory, retrieval, and the loops that connect them. Production agents, not prototypes.
Optimize multimodal inference for real-time operation at the edge - model choice, quantization, and batching to hit our latency and concurrency budgets.
Design embedding pipelines, vector storage, and hybrid retrieval that power the agent's search, behavioral analytics, and rule generation.
Architect how multiple edge units coordinate at scale - sharing context, correlating activity, and behaving as one coherent system for our largest deployments.
Build the agent's air-gapped lifecycle - updating, learning, and evolving entirely inside customer private networks with no cloud connectivity.
Run focused research on new open-source models and inference frameworks, and bring back insights and prototypes that inform our roadmap.
Plus occasional cross-company AI projects across the rest of the company.

Requirements:
We care about a particular mindset more than any specific item on a checklist. The person who'll thrive here is someone already living inside the modern AI stack - not planning to start. You read model release notes the way other people read the news. You've built real things with new tools the week they came out. Agentic dev workflows aren't something you've heard about; they're how you already work. When a new model drops, your first instinct is to put it on the bench. And underneath all of it, you're a builder - you ship, you write clean software, and you think about latency, cost, and what the user actually needs.

What We're Looking For

6+ years of software engineering experience, with the last few focused on AI / ML systems
Deep, hands-on experience designing and shipping agent systems in production - not demos. You understand agent architectures, memory, tool use, evaluation, and the failure modes that matter at scale.
Strong fundamentals in embeddings, RAG, and hybrid retrieval, with real experience designing vector storage and retrieval pipelines for production use
Deep production backend foundations - strong Postgres knowledge (functions, triggers, indexes, extensions, atomic operations, and similar depth), real-time client channels (WebSockets, SSE), async and event-driven backbones (pub/sub, queues, background tasks, webhooks), the ability to design systems and features around multithreading and multiprocessing, and dynamic resource management for high-throughput, latency-sensitive workloads.
Excellent architecture instincts and strong Python - you write code that scales and that other engineers can build on
Product sensibility - you can reason about trade-offs and what's worth building, not just what's technically possible

This position is open to all candidates.

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לפני 1 שעות

Platform Enablement & AI Engineer

חברה חסויה

Location: Herzliya

Job Type: Full Time

we are looking for a Platform Enablement & AI Engineer.
The Platform Enablement & Automation team owns configuration management across products and services, defining how they operate for different customers, partners, and markets. This scope spans pricing and fee structures, eligibility and limit policies, onboarding, and the business rules and operational controls that govern product behavior across regions.
The team functions as the rapid-delivery layer between a business requirement and a fully productized solution. When a business unit requires a new capability, a pricing change, or a configuration deployed at short notice, the team delivers it at production quality without waiting for the full product and engineering build cycle. To operate at scale, the team builds and owns its internal platform, and is progressively evolving into an AI-native, automation-first function.
This is a hands-on, individual-contributor position focused on engineering delivery and technical ownership rather than people management. The successful candidate will serve as a core builder of the platform, working across the full technology stack, from user interface through backend services to data and deployment, and will provide the technical depth and redundancy that prevents the platform from depending on any single individual.
Working in close partnership with the business teams the platform serves, the successful candidate will translate their requirements directly into working software and help extend the platform outward as it grows to support strategic partners. The role also partners with the team's Director to shape the platform roadmap and deliver against it, in daily collaboration with R&D and Product in Glilot.

Requirements:
4+ years of hands-on software engineering experience, with demonstrated ownership of features and projects from concept through production.
A broad engineering foundation and the versatility to work across the full stack rather than within a single narrow specialization.
Proficiency with a modern JavaScript / TypeScript stack (React on the front end, Node.js on the back end), and the ability to become productive quickly in unfamiliar parts of a stack.
A working command of version control and release management (Git or Azure DevOps), including branching, merging, and multi-environment deployment.
Sound solution design judgment: the ability to translate ambiguous requirements into a clear technical approach and execute it.
Proficiency with AI-assisted development tools and a demonstrated ability to build efficiently and to a high standard with them.
The ability to work directly with business stakeholders and translate their needs into working software.
A pragmatic, execution-oriented approach, with a bias toward shipping, iterating, and taking ownership from concept through production.
Advantage:
Existing familiarity with Payoneer's platform, systems, and business operations.
Experience with both document databases (e.g., MongoDB) and relational databases (SQL / MSSQL).
Familiarity with AI and LLM platforms, agentic workflows, or retrieval-augmented generation (RAG) systems.
Experience with SSO / SAML authentication, APIs, and system integration.
Prior contribution to an internal platform or developer-facing tooling.
Experience operating within a Windows / IIS hosting environment.

This position is open to all candidates.

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10/09/2026

GTM Engineer (AI & Automation)

חברה חסויה

Location: Herzliya

Job Type: Full Time and Hybrid work

We are seeking a high-performing GTM Engineer to join our team as a strategic force multiplier for our sales and marketing engines.

In this role, you will work closely with our GTM Engineering Lead to accelerate the transition from "old school SalesOps" to a modern, AI-driven Go-To-Market infrastructure.

This is an AI programming job in the field of Go-to-Market.

You will be a key developer and builder behind our AI-driven growth, turning strategy into high-performing code, autonomous agents, and scalable workflows.

Key Responsibilities

Identify high-leverage opportunities to automate manual workflows across Marketing and Sales using LLMs, autonomous agents, and modern API integrations.
Work closely with the GTM Engineering Lead to translate strategic growth initiatives into functional, AI-powered internal tools.
Design and build custom data pipelines and automations that remove friction for SDR and Marketing teams, allowing them to work smarter and move faster.
Own the development lifecycle of internal growth tools-from building and testing to shipping and iterating on production-level solutions.
Partner with Finance, Marketing, and Sales stakeholders to ensure AI deployments are scalable, secure, and measurably improve conversion rates.
Help establish ROI models and best practices for new AI-driven processes across the company.

Requirements:
The "Builder" Mentality is a must!
1-2 years of experience in GTM Engineering, Business Technology, or Solutions Engineering within a fast-paced startup or high-growth environment.
Working knowledge of database usage and security best practices.
Deep, hands-on experience applying AI and APIs to solve business problems.
Fluency with modern developer and automation tools like Claude Code, Cursor, n8n, v0/Vercel, or Glean.
Ability to write prototype or production-level code in Python, JavaScript/TypeScript, or similar languages (the specific language is less important than your problem-solving ability).
Familiarity with modern GTM stacks, including Salesforce, Marketo, Pocus, or similar platforms.
A self-motivated problem-solver who thrives in a collaborative team environment and takes pride in end-to-end execution.
Exceptional ability to adapt your communication style to both technical internal teams and non-technical stakeholders.

This position is open to all candidates.

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לפני 3 שעות

CONTRACTOR: Forward Deployed Engineer

חברה חסויה

Location: Herzliya

Job Type: Full Time

we are looking for a CONTRACTOR: Forward Deployed Engineer .
As a Forward Deployed Engineer on the Predict team, you'll embed directly with customers and prospects to design, build, and ship predictive models inside their real-world data environments - and feed what you learn back into the product. This is a hands-on, hybrid role at the intersection of engineering, technical consulting, and customer-facing work. You'll own the technical side of the customer journey end-to-end: from pre-sales discovery and proof of value, through data modeling and integration, to enablement and adoption. SQL is a daily tool in this role. This is a contractor engagement based in Herzliya, Israel, working on United States EST hours.
This role is based in Herzliya, Israel and works hybrid from Pendo's Herzliya office.
What this looks like day-to-day:
Run technical discovery with customers to assess product analytics maturity, data availability, and business processes - and use that to set realistic implementation expectations and position Predict for their stage.
Work hands-on with customers to design the data model and define the business metric the model will predict; map customer data sources (Pendo, Salesforce, Snowflake, and other warehouses) to Predict requirements and best practices.
Build and present compelling predictions in the prospect's own domain - explain methodology, model accuracy, and activation to earn credibility with technical stakeholders including data and data science teams.
Guide customer IT and data teams through integration steps, optimize model parameters for each customer's specific context, and diagnose and resolve blockers quickly - data quality issues, configuration gaps, and expectation misalignments included.
Help customer teams translate predictions into actions and playbooks; document how different teams (CS, Sales, Product) should respond to predictions for consistent, repeatable outcomes.
Identify and enable champion users to evangelize Predict internally - and channel field learnings back to Product and Engineering to shape the roadmap.

Requirements:
2+ years of experience in a pre-sales engineering, technical account management, or similar customer-facing technical role in B2B SaaS.
Strong, hands-on SQL - comfortable exploring unfamiliar schemas, building data models, and validating data quality in live customer environments.
Ability to run technical discovery and communicate complex concepts credibly to both business stakeholders and data or engineering teams.
Comfort with ambiguity and ownership - you can create momentum on problems that aren't fully defined without waiting for someone to scope it for you.
Excellent written and verbal communication skills in English.
Based in Israel and able to work hybrid from Pendo's Herzliya office; availability to work US EST hours is required.
Nice-to-haves
Background in data, analytics, or BI - analytics engineering, data analysis, BI development, or data science.
Experience with cloud data warehouses (Snowflake, BigQuery, Redshift, Azure Synapse) and CRM data structures (Salesforce objects, Opportunities, renewal workflows).
Familiarity with product analytics tools such as Pendo, Mixpanel, or Amplitude.
Exposure to ML concepts including model training, evaluation, and explainability (e.g., SHAP values).

This position is open to all candidates.

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31/08/2026

Full Stack Developer

חברה חסויה

Location: Herzliya

Job Type: Full Time

We are looking for a talented Full Stack Developer to join our growing engineering team. In this role, you will be responsible for designing, building, and maintaining scalable web applications across both frontend and backend systems. You will work closely with product managers, designers, and fellow engineers to deliver high-quality solutions that provide an exceptional user experience while maintaining strong engineering standards.
This is an opportunity to work with modern technologies, contribute to architectural decisions, and leverage AI-powered development tools as part of a highly collaborative and innovative development environment.
Key Responsibilities
Design, develop, and maintain full-stack web applications using modern TypeScript-based technologies.
Build intuitive, scalable, and high-performance user interfaces, including complex workflows, large-scale data tables, and reusable design system components.
Develop and maintain backend services, APIs, and business logic in a production environment.
Design and optimize relational database schemas, queries, and data access patterns.
Build and maintain RESTful APIs, including authentication, authorization, validation, and documentation.
Implement effective state management solutions for both client-side and server-side data.
Write and maintain automated tests across Unit, Integration, and End-to-End testing layers.
Participate in architecture discussions, code reviews, and technical design sessions.
Troubleshoot, debug, and improve application performance, scalability, and reliability.
Utilize AI-assisted development tools such as Claude Code and similar agentic coding platforms to enhance productivity while applying sound engineering judgment.

Requirements:
3+ years of professional Full-Stack development experience
Strong TypeScript proficiency with the ability to write complex, clean, and maintainable code
Proven Full-Stack experience with a modern Node.js framework in a Production environment
Ability to design and build complex UIs - including Design Systems, large-scale tables, and State Management
Hands-on experience with modern state management libraries for both client and server state
Solid experience with a relational database, including complex queries and performance optimization
Experience building and maintaining REST APIs - including documentation, validation, and authentication flows
Experience writing automated tests across Unit, Integration, and E2E layers
Hands-on experience integrating AI-assisted development tools (e.g. Claude Code, Cursor, Copilot) into the daily development workflow
Preferred Qualifications
Experience with Next.js and Fastify
PostgreSQL experience
Familiarity with AWS services - Auth management, Messaging, and event-driven patterns
Experience with Pulumi for Infrastructure as Code on AWS (provisioning and managing cloud resources programmatically)
Basic experience deploying and running backend microservices on AWS using EKS (Kubernetes) or ECS (containerized services)

This position is open to all candidates.

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26/08/2026

Data Science Team Leader

חברה חסויה

Location: Herzliya

Job Type: Full Time

We are looking for an exceptional Data Science Team Lead to spearhead the vision and evolution of our next-gen GenAI Co-Pilot. You will lead a team building a game-changing AI product that revolutionizes how users interact with our software - delivering real-time intelligence, deep investigative insights, and autonomous next-action guidance at scale.

You will:
Define the strategic AI roadmap across the system, serving as the core domain authority for cross-functional initiatives.
Architect next-gen capabilities by leveraging cutting-edge LLMs, GenAI, and autonomous agentic workflows to help analysts make critical, real-world decisions.
Oversee the end-to-end AI/ML lifecycle, from experimentation and prototyping to deployment, monitoring, and optimization.
Partner closely with international product, engineering, and architecture teams to drive high-quality, scalable solutions.
Join a team that fears no technology and constantly tests the boundaries of investigative power.

Requirements:
M.Sc. or higher in Computer Science, Mathematics, Engineering, or a related quantitative field.
7+ years of hands-on experience building and deploying ML/AI solutions in production, including 2+ years leading or growing a data science/ML team.
Proven experience designing and shipping GenAI-based product features and multi-agent systems using modern orchestration frameworks such as LangGraph, CrewAI, or AutoGen, including RAG, vector databases, and tool/function calling.
Practical experience with the agentic production stack: observability/eval tooling (e.g., Langfuse), durable workflow orchestration, and typed service design.
Strong foundation in classical machine learning - supervised/unsupervised methods, feature engineering, model evaluation - and sound judgment for when to use classical models over LLMs.
Advantage: Demonstrated experience fine-tuning and deploying small/large language models, including SFT and preference/RL-based methods such as GRPO or DPO.
Advantage: Experience with model optimization and efficient serving: quantization, pruning, LoRA/QLoRA, and high-throughput inference frameworks such as vLLM.
Advantage: Experience designing end-to-end ML pipelines (versioning, training/tuning, deployment, testing, monitoring) on cloud-native infrastructure (Kubernetes, GCP/AWS).

This position is open to all candidates.

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19/08/2026

Mobile SDK Engineer

חברה חסויה

Location: Herzliya

Job Type: Full Time

Join our Core SDK Team, responsible for building and maintaining the core mobile technology that powers our platform across millions of applications worldwide. The team develops high-performance, reliable, and secure SDK components used by developers globally.

The Core SDK team operates across Android and iOS platforms, with a long-term vision of a unified mobile SDK engineering team. Engineers collaborate across platform boundaries while maintaining deep expertise in their primary mobile ecosystem.

Operating at the intersection of mobile platforms and large-scale distributed systems, the team tackles complex challenges such as performance optimization, platform compatibility across thousands of devices, and maintaining highly reliable code that runs on billions of devices.

As the team evolves, we are also expanding beyond traditional mobile development and scaling engineering capabilities with AI. This includes building and using AI-powered tooling, MCP-based systems, and agent-driven automation to improve developer productivity, testing, and SDK innovation.

Engineers in the team therefore have the opportunity to work not only on mobile platform challenges, but also on emerging areas where mobile infrastructure, AI systems, and developer platforms intersect.

What youll do
Develop and maintain our mobile SDK features used by developers worldwide.
Design and implement reliable and performant SDK components across multiple mobile platforms and operating system versions.
Take ownership of end-to-end quality, including design, implementation, testing, and production reliability.
Debug and resolve complex issues across different devices, OS versions, and runtime environments.
Improve SDK performance, stability, and reliability at scale.
Develop and maintain SDK wrappers and integrations for cross-platform frameworks such as Unity, React Native, Flutter, and other mobile environments.
Work with modern AI-driven engineering tools, automation systems, and internal developer platforms.
Collaborate with engineers across mobile, backend, frontend, and platform teams.
Participate in code reviews and contribute to engineering best practices.

Requirements:
What you have
B.Sc. in Computer Science or Software Engineering (or equivalent experience).
2-3 years of mobile development experience on Android or iOS.
Strong experience in one or more of the following: Kotlin, Java, Objective-C, or Swift.
Solid understanding of Android SDK, Android Studio,Gradle, Xcode.
Experience developing and maintaining production-level mobile applications or SDK components.
Good understanding of software engineering fundamentals (OOP, design patterns, data structures).
Experience debugging and troubleshooting mobile applications.
Very good English communication skills.
Strong ownership mindset and ability to learn and grow in a fast-moving environment.
Bonus points.
Experience with SDK or library development.
Experience working with cross-platform mobile frameworks (React Native, Flutter, Unity, etc.).
Knowledge of Android performance optimization and memory management.
Experience working with CI/CD pipelines and automated testing.
Familiarity with mobile security concepts.
Experience working with AI-assisted development tools, agents, or automation systems.
Recommended by our employee.

This position is open to all candidates.

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לפני 2 שעות

Senior DevOps Engineer

חברה חסויה

Location: Herzliya

Job Type: Full Time and Hybrid work

We are looking for an experienced Senior DevOps Engineer to join our Platform Services team. In this role, you will design, build, and operate scalable platforms and infrastructure across a hybrid on-premises and multi-cloud environment, enabling engineering teams to develop, deploy, and run services efficiently, securely, and reliably.
You will work in a complex, large-scale production environment that combines on-prem infrastructure with AWS, GCP, Kubernetes, Infrastructure as Code, automation, observability, and AI-driven technologies.
What you'll do:
Design, build, and maintain hybrid infrastructure spanning on-premses platforms, AWS, GCP, and multi-cloud architecture
Operate and scale Kubernetes-based containerized production environments
Implement and manage Infrastructure as Code using Terraform and Helm
Build and maintain CI/CD pipelines and automation with Azure DevOps, GitHub Actions, and Argo CD
Drive platform engineering initiatives - developer self-service portals, internal tooling, and golden paths
Establish and improve observability and reliability practices using Prometheus, Grafana, and Coralogix
Write automation scripts and tooling in Python, Bash, and PowerShell
Own cloud networking, security, IAM, secrets management, and governance across environments
Lead production troubleshooting, incident management, and root cause analysis
Architect solutions and provide technical leadership in close collaboration with R&D teams
Leverage AI-based tools to improve automation, incident analysis, operational efficiency, and developer workflow

Requirements:
6+ years of hands-on experience in DevOps, Platform Engineering, Infrastructure Engineering, or similar roles
Strong experience with hybrid on-premises and multi-cloud environments - especially AWS and GCP
Solid hands-on knowledge of Kubernetes, CI/CD, Infrastructure as Code, automation, and observability
Ability to design and lead infrastructure/platform projects in close collaboration with R&D teams
Strong troubleshooting skills and the ability to investigate complex production issues end-to-end
Ability to work independently, take ownership, and drive projects from design through production
A solution-oriented mindset, strong collaboration skills, and passion for improving developer experience
Curiosity and a hands-on approach to adopting AI-driven tools for DevOps and platform workflow
Available to participate in a 24/7 production on-call rotation as part of the DevOps team is required

This position is open to all candidates.

עדכון קורות החיים לפני שליחה

8834149

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03/09/2026

Data Scientist Engineer

חברה חסויה

Location: Herzliya

Job Type: Full Time

We are looking for a Senior Data Scientist to lead the development of machine learning solutions powering real-time decision-making and recommendation systems in industrial production environments.

This is a hands-on role with end-to-end ownership. You will be responsible for the full modeling lifecycle, from problem framing and data exploration to modeling, evaluation, deployment, and production impact. You will work with complex, noisy sensor and control data, building models that must be robust, interpretable, and reliable in real-world conditions.

You will collaborate closely with deep learning researchers, research engineers, and domain experts, and play a key role in shaping how data science is applied across the system.
Key Responsibilities

Design, develop, and evaluate machine learning models for real-time industrial applications
Own the end-to-end modeling pipeline, including problem formulation, data preparation, feature engineering, model development, evaluation, deployment, and post-production monitoring
Translate ambiguous production challenges into well-defined data science problems
Lead feature engineering and data exploration on complex sensor and control datasets
Define KPIs, evaluation frameworks, and experimentation strategies
Ensure model robustness over time, including monitoring, drift detection, and continuous improvement
Work closely with data and research engineers to bring models into production
Drive best practices in modeling, validation, and reproducibility
Communicate insights, trade-offs, and recommendations clearly to stakeholders

Requirements:
B.Sc./M.Sc. in Computer Science, Statistics, Applied Mathematics, or related field
5+ years of hands-on experience applying machine learning in production environments
Strong Python skills and experience with ML libraries such as scikit-learn, XGBoost, LightGBM, or CatBoost
Proven experience with feature engineering, model selection, and evaluation in real-world scenarios
Strong statistical understanding and ability to reason under uncertainty
Experience working with messy, high-dimensional, or time-series data
Ability to independently own problems and drive them to production

This position is open to all candidates.

עדכון קורות החיים לפני שליחה

8809118

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