דרושים » הנדסה » Platform Engineer (AI Apps)

We are looking for an experienced AI/ML Engineer to join our Applications team within our platform engineering group. In this role, you'll be responsible for designing, building, deploying, and maintaining production-grade AI systems and ML pipelines. You'll translate cutting-edge data science research into practical, scalable solutions, handling model deployment both in cloud environments and on-premises using GPUs and CUDA. Youll optimize and implement ML models, workflows, and AI agents to ensure high performance and reliability in production environments.

Responsibilities
Design, implement, and deploy ML models, AI-driven applications, AI workflows, and LLM-based agents into production.
Build, manage, and maintain robust ML pipelines and systems.
Deploy models on cloud and on-premises GPU servers.
Optimize system performance, including model inference, scalability, and resource utilization both on cloud and on-premises.
Develop and maintain services, APIs and integrate ML models into microservices-based applications.
Collaborate with cross-functional teams including data science, backend, DevOps, and platform teams.
Stay up to date with the latest developments in AI, machine learning, and related fields, focusing on LLMs, exploring how emerging technologies can be applied to improve products and services.

Were seeking an experienced AI/ML Platform Engineer to join our Foundations team, the group behind our next-generation GenAI platform powering innovation across the company and beyond. This team is building scalable, high-performance AI systems for both internal users and external customersdesigned to run seamlessly across cloud and on-premise environments using the latest advancements in hardware. In this role, youll lead efforts in distributed training, inference at large scale, resource optimization, and robust model lifecycle management using MLOps best practices. Your work will be critical to accelerating research, supporting production-grade AI infrastructure, and driving the development of our internal AI ecosystem.

Responsibilities
Architect and build scalable ML infrastructure for training and inference workloads across heterogeneous compute environments (on-premise and cloud).
Design and implement distributed systems to support model lifecycle management from data ingestion and preprocessing, to training orchestration and deployment.
Optimize performance and cost-efficiency of large-scale model training and serving pipelines using technologies like Ray, Kubernetes, Spark, and GPU schedulers.
Collaborate with AI researchers, data scientists, and product teams to understand their workflows and translate them into reusable platform services and APIs.
Drive adoption of best practices for CI/CD, observability, and reproducibility in ML systems.
Contribute to the long-term vision and technical roadmap of the ML platform, ensuring it evolves to meet the growing demands of AI across the company.

We are looking for a Senior Backend Engineer to join our AI/ML team. In this role, youll work closely with data scientists to transform cutting-edge machine learning models into scalable, production-ready services. You will take ownership of designing, building, and maintaining the backend systems that power our AI-driven features.

This is a key position that bridges the gap between data science and production engineering, ensuring high performance, reliability, and maintainability of our ML-powered products.

Responsibilities:
Collaborate with data scientists to understand modeling outputs and convert them into deployable services.
Design and develop robust, scalable backend systems and microservices to support AI use cases.
Own the deployment and monitoring of ML models in production (with CI/CD, logging, observability).
Implement data processing pipelines in support of model training and inference.
Ensure software adheres to best practices in architecture, testing, and documentation.
Optimize model inference for latency, throughput, and resource efficiency.
Contribute to design decisions and technical strategy alongside AI and infrastructure leads.

property management software built for speed and the smart choice for people who take growth seriously. With offices in Miami, New York City, and Tel Aviv, were a global company helping property owners and managers move faster, scale smarter, and get real support, real fast.
Were proudly People First. Thats why were a Certified Great Place to Work, recognized by Forbes as one of Americas Best Startup Employers in both 2024 and 2025, and earn top ratings on Glassdoor.

Mission
seeking an experienced AI Engineer to join our fast-growing team. In this role, you will design, train, and deploy AI models to solve real-world problems. You will work closely with cross-functional teams, including software engineers, DevOps engineers, and product managers, to integrate intelligent features into our platform and services.

Responsibilities
LangChain/LangGraph Development: Build and maintain modular, scalable LLM-powered agents and tools using LangChain and/or LangGraph.
Retrieval-Augmented Generation (RAG): Implement RAG-based solutions to improve AI responses using external knowledge bases.
API & Backend Integration: Work with software engineers to integrate AI systems into backend infrastructure and expose them via APIs.
AI Agent Development: Design, build, and deploy autonomous AI agents that can reason and execute multi-step tasks using LLMs, tools, memory, and APIs.
Experimentation & Evaluation: Continuously refine models using A/B testing, human feedback loops, and AI evaluation metrics.
Stay Updated: Keep up with the latest LLM advancements and best practices in the AI industry.
Product applications: Apply LLMs and agents to real-world scenarios that solve meaningful user problems.
Product implementation: Work closely with the product team to ensure that delivery is aligned with expected product requirements
Response validation: Implement a process to ensure accurate KPI measurement and consistent, expected outcomes.
Typescript Integration: (Preferred) Help implement and maintain AI modules and integrations using Typescript-based stacks.

As a Senior AI Engineer in the Clinical AI domain within our Data & AI group, you will play a critical role in designing, building, and scaling cutting-edge machine learning and LLM-based systems that power our AI-first healthcare experiences. Your work will drive capabilities in clinical risk prediction, conversational agents, and personalized health management tools.

You will take technical ownership of key projects, lead the development of scalable AI systems, and collaborate closely with cross-functional teams spanning product, data science, and engineering. In essence, you will help shape the future of AI in a high-impact, healthcare-focused environment.

Responsibilities:
Lead the technical design, development, and deployment of robust machine learning and LLM-based applications.
Architect and implement scalable systems for conversational agents, risk models, and clinical workflows.
Collaborate with data scientists and product managers to turn research and user insights into production-ready AI solutions.
Contribute to advanced prompt engineering, retrieval-augmented generation (RAG), and agent orchestration efforts.
Design and implement robust evaluation, testing, and monitoring strategies for AI models in production.
Integrate real-time data from mobile apps, wearables, and clinical sources into AI pipelines.
Investigate emerging AI technologies, evaluate their applicability, and recommend their integration into our systems.

We are looking for a Senior Data Scientist (Applied AI).
As a Senior Data Scientist on our Applied AI team, you will join our Tel Aviv office and play a hands-on, end-to-end role in delivering innovative capabilities that help mayors and other city leaders understand their communities and improve the lives of millions worldwide. Reporting to the Applied AI Team Lead, you will collaborate with product, engineering, and fellow data-science teammates to turn cutting-edge research into production-ready solutionsquickly, reliably, and with maximum real-world impact. Youll work with a rich mix of data sources (including social media, news stories, survey results, resident feedback, and more) to create models and AI-powered features that scale.
Day to Day:
Design, build, and deploy AI and machine-learning solutions, from data exploration through modeling, evaluation, and integration into customer-facing products and internal tools.
Optimize models for quality and scalability through feature engineering, hyper-parameter tuning, runtime profiling, and thoughtful architectural choices.
Build and maintain data pipelines using tools such as Airflow, Spark, and Databricks to ensure clean, reliable inputs for downstream models.
Collaborate closely with product managers, engineers, and designers to refine problem statements, iterate rapidly, and ship impactful features on schedule.
Champion technical excellence by conducting code reviews, sharing best practices, and mentoring teammates across data science and engineering.
Stay current with the latest developments in AI-including LLMs, RAG systems, and AI agents-and proactively propose ways to incorporate new techniques into our workflows.
Work an in-person or hybrid schedule, spending at least three days per week in our Tel Aviv office.

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 seeking for a talented AI/ML developer with strong focus on Python expertise and hands-on experience in AI/ML models to join our Data Science group. The Data Science group plays a pivotal role in driving the execution and delivery of advanced AI and modern Machine Learning solutions, that empower impactful projects to our target sectors.
Key Responsibilities:
Take part in all development aspects, from concept to production, of AI/ML models and LLM-based features (agents development)
Stay up to date with state-of-the-art research in the field of LLM and apply relevant advancements to improve our solutions
Mentor new team members and share your expertise to strengthen the teams collective knowledge.

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 are looking for a Applied AI Team Lead.
As the Team Lead for our Applied AI team, you will join our Tel Aviv office. You will guide the day‑to‑day execution of innovative projects to help mayors and other city leaders understand their communities and improve the lives of millions worldwide. Reporting to the VP of Data Science, you will combine hands‑on technical leadership with people management skills, overseeing a team with rapidly-growing portfolio of mission-critical projects and collaborating with product, engineering, and other internal partners. Youll be responsible for leading every aspect of the development process, so that our cutting‑edge AI and data science capabilities get to production quickly, reliably, and with maximum impact.
Day to Day:
Lead a 5‑person team of data scientists and engineers, coordinating stand‑ups, code reviews, and 1‑on‑1s while also contributing hands-on to high-priority projects.
Oversee the development and implementation of a diverse project portfolio, focused on both customer-facing product features and internal business use cases.
Scope, execute, and deliver end‑to‑end AI and data science capabilities to meet the requirements of product owners and internal stakeholders.
Play a leading role in the development of AI-focused infrastructure and the implementation of best practices for engineering and data science.
Track project risks, dependencies, and costs, and make proactive adjustments to keep initiatives on time and aligned with requirements.
Stay current with the latest developments in AI technologies and tools, and identify opportunities to integrate the latest innovations into our products and workflows.
Recruit, onboard, and develop team members to help scale our Applied AI program and promote a culture of technical excellence.
Work an in‑person or hybrid schedule, with at least three days per week in our Tel Aviv office.