Вакансии: AI Engineering — Israel

Research and develop GPU-accelerated AI techniques, optimize complex algorithms on modern CPU and GPU architectures, and collaborate with hardware, software, and developer communities.

Lead AI implementation in a space manufacturing environment. Develop AI agents, integrate Generative AI into enterprise systems, and drive process improvements.

We are seeking a talented and motivated Software Engineer to join our Automation Platform team. You will design and develop AI-powered systems that bridge networking, automation, observability, and distributed infrastructure, running on Kubernetes at scale. The role combines strong software engineering with practical AI application development, focusing on production hardening, tracing, evaluation, and safety of agentic systems.

Join a team building production-level systems around 3D sensing, perception, and deep learning algorithms for autonomous vehicles. Hands-on role with high ownership, combining C++ development, neural network integration, and system optimization.

Join a leading fintech company as an Applied AI Scientist. Design, build, and deploy enterprise-grade AI agents that automate high-value workflows across Sales, Marketing, Customer Success, Support, Risk, and Finance. Own the end-to-end agent stack, including LLMs, RAG pipelines, and evaluation frameworks.

Lead and build alongside a team of engineers creating AI agents, intelligent workflows, and decision-making systems. Own architecture, production systems, and team growth in a fintech environment focused on reliable, secure, and scalable AI solutions.

Design and develop core AI runtime SDK components for efficient inference of generative AI and large language models on low-power accelerators, focusing on performance optimization and debugging.

Own and build AI-native systems to automate the software development lifecycle, including agentic pipelines, LLM integrations, and internal AI tooling.

Hands-on role building AI-powered products and automations from scratch, working with LLMs, APIs, agents, and low-code tools. Rapidly prototype and integrate systems to deliver business value in an EdTech company.

Backend Engineer responsible for designing and building the ML platform that enables data scientists to deliver models. Architect cloud-native microservices, own the ML lifecycle, and collaborate across teams to ensure scalability and reliability.