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We are looking for an AI Developer with hands-on technical skills to join our team. This role combines development skills with product leadership and expertise in AI technologies. You will be responsible for the full lifecycle of AI agents, from vision and strategy through design, development and deployment. You will be deeply involved in building intelligent AI agents, engineering guidelines and designing impactful products that are at the intersection of technology and User Experience.
* Define and communicate the product vision and roadmap for AI-driven solutions, aligning business goals with technical feasibility.
* Take an active role in designing, coding and delivering AI agents, working as a full member of the development team.
* Research, create and optimize guidelines to improve Large Language Model (LLM) outputs in terms of accuracy, relevance and user satisfaction.
* Manage the full lifecycle of AI agents - from concept to launch and beyond, including monitoring and improving them over time.
* Analyze product performance using key performance indicators (KPIs) and drive continuous improvement based on data and user feedback.
* Ensure that AI solutions are designed and deployed in accordance with the principles of responsible AI, with a focus on transparency, fairness, and trust.

We are looking for a strong backend engineer who enjoys exploring new areas and solving complex system -level challenges. This role is ideal for someone curious, independent, and excited to work with a wide range of technologies. If you enjoy building reliable systems, care about performance and scalability, and have a constant desire to learnwe want to meet you. Our mission is to build robust, scalable, and efficient infrastructure to deliver our product faster, safer, and smarter.

We are looking for a seasoned and hands-on NPI (New Product Introduction) Engineer to join our multidisciplinary team in central Tel Aviv. In this critical role, you will be the bridge between our innovative R&D team and our manufacturing partners, ensuring our cutting-edge drone systems can be produced reliably, efficiently, and at scale. What You'll Do As our NPI Engineer, you will own the process of transitioning complex electro-mechanical products from the prototype stage to volume production. You will work closely with our R&D team and contract manufacturers to ensure our designs are optimized for manufacturability and our production lines are robust and scalable. Key Responsibilities: Lead the transition of electronics and mechanics projects from prototype phases to successful volume production. Collaborate with R&D on accepting, managing and versioning design & manufacturing documentation and materials (BOMs, drawings, schematics, assembly manuals, production testing protocols, testing jigs and software), ensuring consistency, completeness, applicability and qualification for production. Oversee pilot runs and production ramp-up, proactively identifying and resolving any manufacturing or quality issues. Design and qualify production jigs, fixtures, and other tools required for assembly and testing. Collaborate with R&D to implement Design for Manufacturability (DFM) and Design for Assembly (DFA) principles from the early stages of development. Serve as the primary technical liaison with contract manufacturers (CMs) and key component suppliers.

About the Role Allot is looking for an experienced DevOps & Lab Systems Engineer to support our R&D on-premises lab operations. The role focuses on system administration, networking, and infrastructure management while ensuring our engineering teams have reliable, secure, and efficient lab environments. Responsibilities
* Manage and maintain servers (Linux and Windows), virtualization platforms, and storage in the R&D lab.
* Configure, monitor, and troubleshoot networking equipment (switches, VLANs, VPNs, routing, firewalls).
* Handle hardware lifecycle including racking, cabling, RAID setup, and monitoring.
* Provide technical support to R&D teams using the lab for development and testing.
* Maintain system stability, backups, and security across lab infrastructure.
* Assist with container platforms (Docker, Kubernetes) and CI/CD pipelines (Jenkins, GitLab CI) when required for lab operations.
* Support automation tasks using tools such as Ansible or Terraform under the guidance of the DevOps team.

Region (Website):
Israel ( N/A)

seeking for a DevOps Engineer. As part of the team, you will take ownership of cloud-native environments, support development teams with robust and secure CI/CD processes, and help drive the implementation of Infrastructure as Code (IaC) practices. Youll work with advanced tools and technologies such as Azure DevOps AWS (including ECS), and Docker Containers, supporting mission-critical applications in a production-grade environment. A full time hybrid position
?Key Responsibilities:
* Designing, building, and maintaining CI/CD pipelines using Azure DevOps
* Managing and deploying containerized applications using Docker and AWS ECS
* Implementing and maintaining Infrastructure as Code using tools like Terraform or CloudFormation
* Supporting development and QA environments in a hybrid cloud setup

We’re looking for a Product Manager to lead Fiverr’s LLM Infrastructure - a foundational role driving the development of systems that enable smarter, AI-powered decision making across the marketplace. As the PM for LLM Infrastructure, you’ll shape the capabilities that turn unstructured data into structured, explainable, and actionable insights. You’ll work closely with ML engineers, data scientists, and product leaders to design scalable tools and frameworks that support use cases across personalization, matching, search understanding, trust and safety, and more. Your mission will be to build reliable and extensible LLM-based systems that serve as core building blocks for future-facing product innovation.

What am I going to do?:

* Define the product vision and roadmap for Fiverr’s LLM infrastructure, aligning with long-term company strategy and cross-team needs.
* Lead the development of scalable systems that extract meaning.
* Structure from conversational and behavioral data.
* Drive adoption of LLM capabilities across Fiverr by building unified APIs, shared frameworks, and streamlined integration pipelines.
* Partner with engineering, data science, and research teams to deliver high-quality infrastructure that powers AI-native product experiences.
* Collaborate on system design and architecture decisions to ensure alignment between technical solutions and product scope.
* Ensure reliability, scalability, explainability, and performance in all LLM-based systems.
* Manage technical complexity and connect infrastructure efforts with clear business value.

Equal opportunities:
At Fiverr, we’re not about checklists. If you don’t meet 100% of the requirements for this role but still feel passionate about the position and think you have the right skills and qualifications to excel at it, we want to hear from you. At Fiverr, we prioritize diversity. We celebrate difference and embed it into every aspect of our workplace and product, as well as our community. Fiverr is proud and committed to providing equal opportunity employment to all individuals regardless of race, color, religion, sex, sexual orientation, citizenship, national origin, disability, Veteran status, or any other characteristic protected by law. In addition, Fiverr will provide accommodation to individuals with disabilities or a special need.

We are seeking a highly skilled Senior Automation Infrastructure Engineer to join our quality engineering team and drive innovation in our automation infrastructure. This role is ideal for an experienced engineer passionate about building scalable, robust test frameworks and infrastructure that empower automation and development teams to deliver high-quality products efficiently.
As a Senior Automation Infrastructure Engineer, you will play a key role in developing and maintaining the core components of our automation ecosystem. You will collaborate with automation engineers, developers, DevOps, and QA to design and enhance infrastructure for comprehensive end-to-end, component, API, and UI testing. Your work will enable teams to accelerate their testing cycles through reliable and efficient tooling.
This is a hands-on engineering role with significant ownership and impact across multiple teams and services.
Your Role & Impact
Design, build, and maintain scalable automation infrastructure and tools for E2E, API, UI, and component testing.
Develop and extend automation services using Python and BDD-based frameworks.
Collaborate closely with QA, DevOps, and development teams to integrate test infrastructure into CI/CD pipelines.
Identify and implement improvements in test stability, performance, and developer experience.
Build and maintain test utilities for reporting, debugging, and failure triage (e.g., log collection, dashboards).
Investigate test infrastructure issues, identify root causes, and drive resolutions to improve reliability
Ensure infrastructure and tools support test execution across environments (e.g., Dockerized, cloud-native deployments).
Contribute to documentation, best practices, and knowledge sharing across teams.

Were hiring a Full Stack Engineer to help evolve our companys AI-first AP Automation platform.
Youll be a key player in building a unified system that gives companies full control and visibility over spending, from invoices to AP credit cards to payments.
This is a high-impact role in a fast-growing startup where AI is not just a feature but a foundation.
Youll architect and deliver scalable, intuitive web experiences that drive efficiency, transparency, and collaboration across the finance workflow.
What You Will Do
End-to-End Development: Build and enhance our platform using Java and React, delivering seamless, performant user experiences across web applications.
AI-Enhanced Feature Delivery: Work closely with AI and product teams to integrate smart automations, faster approval workflows, and contextual user assistance throughout the application.
Performance Optimization: Ensure responsiveness and scalability of the application, handling large data sets and user volumes efficiently.
Collaborative Problem Solving: Partner with designers, PMs, and fellow engineers to transform business needs into elegant technical solutions.
Clean Code & Best Practices: Write robust, maintainable, and testable code. Participate in code reviews and contribute to engineering excellence.
Continuous Improvement: Keep up with new trends and technologiesespecially in AI/MLand look for opportunities to evolve our systems and architecture.

Were hiring a ML Engineer to accelerate AI-driven innovation across our companys B2B SaaS platform.
Youll be at the forefront of building intelligent systems that power core product experiences and automate internal operations, driving efficiency, speed, and scale across the organization. This is a high-impact, hands-on role in a fast-growing, AI-first company where machine learning is a foundational pillar, not a bolt-on feature. You'll partner with product, engineering, and operations teams to design and implement powerful ML and LLM-based solutions that make a measurable difference.
What You Will Do
Build Intelligent Systems: Design and develop ML/LLM-powered solutions that solve real-world challenges across our companys product and internal workflows.
Own Full Lifecycles: Take projects from concept all the way to production, including model training, evaluation, integration, and monitoring.
Leverage State-of-the-Art Tools: Work with leading frameworks like LangChain, Hugging Face, TensorFlow, and PyTorch to deliver cutting-edge functionality.
Collaborate Cross-Functionally: Partner with product managers, engineers, and stakeholders to embed AI capabilities into user-facing features and backend services.
Ship at Scale: Build and maintain scalable APIs and services, integrating best practices in CI/CD, observability, and cloud infrastructure.
Report with Impact: Share progress, challenges, and results clearly with technical and executive stakeholders.

Were hiring a Machine Learning Engineering Manager to guide and grow a high-impact ML team driving AI-powered innovation across our companys B2B SaaS platform. Youll lead the design and delivery of AI solutions while mentoring engineers and setting the technical direction for AI-first development at scale.
This is a leadership role with a balance of hands-on engineering and team management, perfect for someone who thrives on solving technical challenges, inspiring a team, and shaping the future of AI in fintech automation.
What You Will Do
Lead & Mentor: Manage, mentor, and grow a team of ML engineers, fostering technical excellence and career development.
Set Technical Direction: Define the ML strategy, ensuring best practices in architecture, frameworks, and operationalization.
Build and deploy AI-based solutions: Oversee the development and deployment of GenAI/LLM-powered solutions that address real-world challenges across our companys products.
Scale & Operationalize: Establish scalable ML infrastructure, CI/CD, observability, and data pipelines for high-availability production systems.
Collaborate Cross-Functionally: Partner with product managers, engineers, and business stakeholders, clearly communicate progress, challenges, and outcomes.