לוח משרות דרושים AI Engineer בתל אביב יפו

We are looking for a AI Security Engineer.
What Youll Do:
Design and implement best-in-class security measures for the entire AI/ML lifecycle from data pipelines and model training to deployment and inference.
Address risks like model theft, data leakage, prompt injection, adversarial attacks, model inversion, deepfake phishing, and misuse of LLMs or vector databases.
Lead threat modeling activities across AI/ML pipelines, RAG platforms, and use cases, and contribute to broader risk assessments and incident response strategies.
Partner with R&D, MLOps, DevSecOps, and SecOps to ensure secure and ethical practices in AI usage, procurement, and model governance. Work with Red Teams to simulate AI-enabled attacks and develop countermeasures.
Develop protections for internal AI agents and LangChain/RAG/AutoGen-based systems. Build and maintain libraries for prompt sanitization, input/output policy enforcement, and adversarial defense. Collaborate with developers to create layered prompt chains resilient to injection and context confusion.
Integrate anomaly detection for prompt payloads, fine-tune poisoning, agent hallucinations, and monitor for AI-specific threats across environments.

were on a mission to help engineering teams build secure software, faster.
Were looking for an AI Engineer with a background in agentic AI solutions to join our growing team and push the boundaries of what modern AppSec tooling can do.

Responsibilities:
Design and implement Retrieval-Augmented Generation (RAG) pipelines tailored to security use cases.
Develop robust prompt-engineering strategies to enable dynamic threat detection and remediation.
Construct evaluation frameworks for assessing model performance and behavior in real-world AppSec scenarios.
Integrate large language models (LLMs) into production environments to enable autonomous task handling and decision-making.
Collaborate closely with engineering, product, and security teams to translate AI research into product innovation.

As an AI Infrastructure Engineer, youll build AI tools for developers and other cross-functional teams, with the goal of increasing velocity company-wide. The team plays a key role in shaping and delivering AI vision. In your day-to-day, you will:
Be part of a highly agile and professional team that works in the unknown fast-changing AI landscape to deliver high quality and impactful solutions
Identify areas where AI can make an impact and address them by creating cutting-edge solutions
Integrate and adapt existing tools (such as n8n) to needs
Work on strategic projects, innovate, experiment, fail and succeed in short intervals, on a delivery and quality-oriented team
Implement and own solutions end to end, from ideation to production

We are seeking an experienced Data Scientist with a strong background in AI engineering to join our AI Platform team. This role focuses on developing and fine-tuning advanced machine learning models, including LLMs, to support various product teams across Fiverr. As a member of the AI Platform team, you will collaborate with cross-functional teams to build scalable, efficient, and robust AI solutions that serve diverse business domains.

What am I going to do?:

* Take leading roles in foundational AI projects across Fiverr: developing and fine-tuning LLMs, building reusable components for generative AI, supporting real-time predictions, and enabling streaming data utilization across online models.
* Provide advanced Data Science and AI Engineering solutions end-to-end - from research and prototyping to robust production-grade implementations.
* Own the design, training, and evaluation of models tailored for tasks like summarization, classification, semantic matching, personalization, and more.
* Drive innovation by exploring new model architectures, training techniques, and fine-tuning strategies aligned with business needs.
* Lead and mentor other team members, setting high standards for technical excellence and knowledge sharing.
* Continuously identify new opportunities to evolve the platform’s capabilities and streamline how AI is built and adopted across Fiverr.

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’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 an experienced Data Scientist with a strong background in AI engineering to join our AI Platform team. This role focuses on developing and fine-tuning advanced machine learning models, including LLMs, to support various product teams across . As a member of the AI Platform team, you will collaborate with cross-functional teams to build scalable, efficient, and robust AI solutions that serve diverse business domains.

What am I going to do?
Take leading roles in foundational AI projects across : developing and fine-tuning LLMs, building reusable components for generative AI, supporting real-time predictions, and enabling streaming data utilization across online models.
Provide advanced Data Science and AI Engineering solutions end-to-end - from research and prototyping to robust production-grade implementations.
Own the design, training, and evaluation of models tailored for tasks like summarization, classification, semantic matching, personalization, and more.
Drive innovation by exploring new model architectures, training techniques, and fine-tuning strategies aligned with business needs.
Lead and mentor other team members, setting high standards for technical excellence and knowledge sharing.
Continuously identify new opportunities to evolve the platforms capabilities and streamline how AI is built and adopted across .

We are looking for an experienced Data Scientist who can leverage and develop innovative machine learning, NLP, and generative AI technologies, for solving problems within a wide scope.

As a part of our Data Science group, you will work on highly complicated challenges, from research to production, and help shape our algorithms and AI platform. You will work with Developers, Analysts, Product Managers, and business owners on growth opportunities and new ideas.

You should have a strong background and experience in the machine learning pipeline through business understanding, research, data exploration, feature engineering, model building, performance evaluation, testing, production-level code and deployment, model monitoring, and maintenance.

What am I going to do?
Take leading roles in projects such as search engine ranking, promoted ads in search results, recommendations, users segmentation and personalization, online bidding optimization, text analysis, real-time predictions, live streaming data handling, exploration-exploitation problems, etc.
Work closely with various departments in the company to provide advanced Data Science solutions end to end.
Write and own production models and code.
Independent research and innovation in new content and technological domains.
Lead and advise other team members.
Continuously produce new initiatives and improvement ideas.
Act as a leader of AI platform. Develop models and framework solutions for the group.

Were looking for a Product Manager to lead 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, youll shape the capabilities that turn unstructured data into structured, explainable, and actionable insights. Youll 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 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 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.

We're looking for a team lead to own our AI chatbot and tech projects. Youll manage the chatbot project coordinators, guide roadmap and priorities, and lead improvements in our AI agents, autoflows, and performance. This role is a mix of project ownership, team management, and hands-on execution - focused on making our AI experience smarter and smoother for users and agents.

What am I going to do?
Lead AI chatbot and tech projects through full lifecycle: discovery, delivery, and optimization
Manage day-to-day tasks, sprints, and team priorities
Work with CS director to define and improve autoflows, AI agent performance, and related processes
Identify and lead process and AI improvement initiatives to meet customer and business needs
Track KPIs, spot gaps, and drive data-based decisions
Collaborate with product teams to enhance AI agents and automate processes
Stay updated on AI and chatbot best practices
Help team members grow by coaching, sharing knowledge, and creating opportunities to improve their skills and expertise

we are looking for a Senior Software Engineer - AI Security
What Youll Do

Design and implement backend services and APIs in TypeScript (REST).

Build and maintain Elasticsearch indices, mappings, and aggregations to support search-heavy features.

Use Temporal to run long-lived jobs and workflowsthink retries, versioning, idempotency.

Ship code through CI/CD pipelines (GitHub Actions or Jenkins).

Deploy and troubleshoot services on AWS (EKS/ECS, RDS/Aurora, OpenSearch, SQS/SNS, IAM).

Add metrics, logs, and traces; set up alerts that page us only when it matters.

Review pull requests, share context in design docs, and help the team follow straightforward, repeatable practices.

Were looking for an experienced MLOps / DevOps Engineer to design and manage the infrastructure powering large-scale machine learning systems. Youll be responsible for deploying GPU-heavy models (including LLMs) on cost-efficient, production-grade infrastructure, supporting both ML workflows and application artifact delivery.

Youll work with cutting-edge technologies like vLLM, Triton, SageMaker, ClearML, Karpenter, KEDA, and EKS, ensuring the right balance between performance, scalability, and cost.



What Youll Do

Deploy and manage LLMs and deep learning models using vLLM, Triton Inference Server, and custom API endpoints.

Build and maintain GPU-aware autoscaling clusters using AWS EKS, Karpenter, and KEDA, optimizing for cost-efficiency and performance.

Develop CI/CD pipelines using Jenkins and GitHub Actions to automate ML model delivery and application deployments.

Orchestrate training, fine-tuning, and inference jobs on AWS SageMaker and ClearML, with support for experiment tracking, versioning, and reproducibility.

Support backend teams in deploying app artifacts and runtime environments; implement rollback and release strategies.

Integrate observability tooling (e.g., Prometheus, Grafana, ELK, or OpenTelemetry) for both infrastructure and model performance.

Collaborate with SREs to enforce high availability, disaster recovery, and incident response procedures for mission-critical AI services.

We are hiring a Staff Data AI Lead to lead our AI initiatives.
As a Staff Data AI Lead you will be responsible for leading our organization's AI integration efforts and serving as the bridge between advanced AI technologies and our business needs, implementing cutting-edge Data & AI technologies, creating AI-driven strategies and integrating innovative AI solutions across multiple platforms.
What you'll be doing
Develop and execute AI strategies aligned with business objectives
Advise leadership on AI capabilities and potential applications
Guide teams in adopting AI tools and methodologies
Ensure ethical and efficient implementation of AI technologies
Design and oversee AI-driven process improvements
Collaborate with various departments to identify AI opportunities
Stay current with the latest AI trends and advancements
Conduct AI-related training and workshops for staff
Manage AI projects from conception to implementation
Evaluate and recommend AI tools and platforms
Leading a team of AI engineers.