Backend AI Engineer jobs in Israel

Description Today’s world is crime-riddled. Criminals are everywhere, invisible, virtual, and sophisticated. Traditional ways to prevent and investigate crime and terror are no longer enough… Technology is changing incredibly fast. The criminals know it, and they are taking advantage. We know it too. For nearly 30 years, the incredible minds at Cognyte around the world have worked closely together and put their expertise to work, to keep up with constantly evolving technological and criminal trends and help make the world a safer place with leading investigative analytics software solutions. We are defined by our dedication to doing good and this translates to business success, meaningful work friendships, a can-do attitude, and deep curiosity. We are looking for a Senior Backend Engineer to design, architect, and scale the core software foundation powering our next-gen GenAI Co-Pilot and Decision Flows. Working hand-in-hand with our Data Science team, you will take full ownership of critical components, bridge the gap between advanced AI models and production systems, and deliver high-performance, secure, and scalable solutions that drive real-world impact. As a Cognyter, you will: • Build platforms that consolidate complex data to help analysts make critical, real-world decisions. • Partner with AI Data Science and Product teams to deliver sophisticated investigative tools. • Ensure high-quality standards for software that directly impact global safety and investigative outcomes. • Mentor engineers and serve as a go‑to person for problem solving. • Join a team that fears no technology and constantly tests the boundaries of investigative power. Requirements For this mission, you’ll need: • At least 8 years’ hands-on development experience, with proven experience developing in Java and Python. • Hands-on experience building microservices in cloud (preferably GCP/AWS/Azure) environments using cloud native technologies (such as: Kubernetes, Docker). • Experience in designing and implementing large-scale distributed systems using technologies such as Apache Kafka, RabbitMQ, or similar. • Experience with both relational (preferably PostgreSQL/MySQL) and NoSQL databases (such as: MongoDB). • Experience with building products integrating AI/ML engines and agentic workflows (hands-on experience - an advantage). • Proven experience owning high-velocity production, building resilient systems that ship fast while maintaining absolute stability. • Good interpersonal and communication skills (working with global teams – an advantage). • BSc in Software Engineering, or equivalent (an advantage).

Description Fiverr's Applied Science group builds the intelligence behind the marketplace. We turn large volumes of unstructured data into structured understanding, and use it to connect the right people with the right work. We are a small team with an unusually large surface. We own the full path from raw data to production AI systems, and we are actively expanding what that platform can do. In this role, you will design, build and operate AI systems that run continuously in production: large volumes of unstructured data in, models and pipelines in the middle, structured signal that teams across Fiverr build on back out. The scope runs from data pipelines and retrieval infrastructure through to model quality, evaluation and cost. This is a hands on senior role, and you will help define how these systems get built here rather than inherit someone else's answer. What am I going to do? • Build and evolve our production LLM pipelines, turning unstructured text into structured data that the product consumes. • Design and operate large scale batch and near real time data processing, including correctness, freshness and cost. • Build the retrieval and serving layers that make our data usable in real time. • Decide what runs on which LLM model, and prove the choice with numbers rather than intuition. • Keep cost and latency predictable as volume grows: throughput, failure handling and monitoring. • Build agentic workflows that makes the whole team faster, and help set the standards others work to. Requirements • Have 5+ years building and operating production systems, and have seen what breaks at scale. • Have built real features on top of LLMs, with a feel for how they behave and where they need guardrails. • Are at home with data at scale: pipelines, asynchronous and distributed processing, storage and query design. • Design systems well. You can take an ambiguous problem, shape a system around it, and reason clearly about tradeoffs, boundaries, and cost. • Communicate clearly and work easily with product and data partners. • BSc in Computer Science, Software Engineering, or a related technical field. • Advantage- familiar with LLM as a judge concepts, vector search or graph DB. At Fiverr, we know that talent has no single face. We welcome talent from everywhere and everyone because it makes everything we build better. Need accommodations? Just ask. And if this role excites you but you don't tick every box, apply anyway. The best people rarely fit the mold exactly. Equal opportunities 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.