Top Artificial Intelligence Jobs in Israel

Lead cross-domain engineering initiatives connecting AI algorithms, software, and data systems. Ensure AI architecture reliability and efficiency while mentoring engineers and driving collaboration.

Lead the design and development of AI-driven systems, influencing technical decisions, mentorship, and collaboration across teams to enhance clinical AI solutions at Aidoc.

Lead the design, development, and implementation of AI algorithms for medical data, collaborating with cross-functional teams and overseeing multiple projects to enhance healthcare diagnostics.

The AI Technical Project Manager leads cross-functional integration of robotics capabilities, manages deployment programs, and ensures performance in real-world scenarios, driving R&D feedback and project execution under pressure.

As an AI Engineer, you will build and scale AI/ML solutions, prototype ideas, evaluate models, and collaborate with experts for AI delivery.

As a Senior AI Backend Engineer, you will design and develop AI solutions for cloud infrastructure, collaborating on innovative products and shaping technical strategies.

The Senior AI Engineer will design, build, and deliver production-level GenAI systems, mentor engineers, and lead technical decisions on AI solutions in client projects.

As a Generative AI Engineer, you will develop and implement GenAI solutions, engage with clients, and optimize AI systems for performance and scalability while exploring new technologies in the AI field.

The AI Compiler Engineer will develop the AI graph compiler and work on the software stack to optimize AI models for unique hardware architecture. Responsibilities include enhancing performance for AI models and contributing to related components in the software stack.

The engineer will optimize AI libraries and components for unique hardware, focusing on performance improvements in AI models and kernels.

The role involves modeling AI workload performance, analyzing infrastructure needs, influencing architecture roadmaps, and driving innovation in AI systems.

The role involves developing AI pipelines using the Vast Insight Engine, contributing to innovative applications, and participating in AI community and technology landscape analysis.

Design, develop, and deploy generative AI solutions for B2B SaaS products, guiding strategic integration and optimizing performance.

The Agentic AI Researcher will design and develop automated systems using AI and machine learning across all business functions at UVeye, partnering with various teams and focusing on improving operational efficiency through innovative solutions.

As a Robotics AI Engineer, you will design and develop deep learning models for robot perception and manipulation, integrating them into UVeye's inspection platform while ensuring technical reliability and performance.

Lead the creation of AI-native Customer Experience solutions, utilizing prototypes and data-driven strategies while collaborating across teams.

The AI/ML Engineer will design and implement LLM-powered systems, integrate APIs, optimize RAG pipelines, and work collaboratively to extract insights from data.

The AI Transformation Lead will accelerate AI adoption by identifying opportunities, translating challenges into AI solutions, and driving organization-wide change.

Record short video and audio clips and perform short scripts in varied tones and emotions. Transcribe/capture text from audio/video. Work remotely on a project basis with flexible hours; no guaranteed minimum.

Build and operate internal AI agents, automations, and tooling to improve Sales, Marketing, Account Management, Finance, and Ops. Deploy and monitor agent workflows, integrate SaaS systems, manage cloud deployments and secure integrations, and own workplace IT and SaaS administration to scale AI-driven internal operations.

As a Senior AI Engineer (GenAI), you will design and implement production GenAI systems, ensuring high ownership with direct influence on AI strategy and operations.

Senior AI Research Engineers develop algorithmic solutions for innovative features in music apps, focusing on AI/ML model training and integration.

The Generative AI Technologist will design and implement AI features in the FinOps SaaS platform, collaborating with cross-functional teams and optimizing AI performance.

The role involves developing techniques to GPU accelerate AI workloads, optimizing complex AI algorithms, and collaborating with experts to improve hardware and software design.

Lead the engineering infrastructure for SONiC Network OS product development, enhancing CI pipelines and implementing AI tools for regression analysis. Mentor team members and drive technical direction.