AI Engineer jobs in Israel

About Fundamental Fundamental is an AI research lab pioneering the future of enterprise decision-making. Our flagship model, NEXUS is the world's most powerful Large Tabular Model (LTM) - purpose-built for the structured records that contain trillions of dollars in business value. With $275m in funding from leading investors and trusted by Fortune 100 companies, Fundamental is giving businesses the Power to Predict. At Fundamental, you'll work on unprecedented technical challenges in foundation model development and build technology that transforms how the world's largest companies make decisions. This is your opportunity to be part of a category-defining company from the ground-up. Join the team defining the future of enterprise AI. Key responsibilities • Take part in development and optimization of a large neural network-based tabular model implemented in Python • Profile training and inference pipelines to identify performance bottlenecks • Rewrite critical components in Rust (via PyO3 or custom extensions) where Python limits us, with C++ (via PyBind11 or custom extensions) as a secondary option where appropriate • Improve memory efficiency, latency, and throughput across model pipelines • Ensure correctness, numerical stability, and reproducibility as the model evolves • Collaborate with ML researchers on productionizing new capabilities • Maintain clean abstractions, comprehensive tests, and clear documentation • Shape architectural decisions for our ML systems handling tabular data Must have • Strong software engineering fundamentals with expert-level Python and Rust • Hands-on experience bridging Python and Rust (PyO3, maturin, or custom extensions) • Experience developing and maintaining ML models in production • Strong understanding of neural networks • Track record of optimizing performance-critical code • Strong profiling and debugging skills (CPU, memory, latency) Nice to have • Experience with tabular ML approaches (transformers, tree/NN hybrids, learned embeddings) • Working proficiency in C++ and experience bridging Python and C++ (PyBind11, Cython, or custom extensions) • Familiarity with PyTorch internals or writing custom ops (Rust or C++) • Experience optimizing training loops, data pipelines, or inference engines • Background in numerical computing or systems programming • Exposure to large-scale ML infrastructure (distributed training, batching, caching) • Experience with the Rust async ecosystem (tokio) or SIMD/parallelism crates (rayon, ndarray) Benefits • Competitive compensation with salary and equity • Comprehensive health coverage for you and your dependents • Paid parental leave for all new parents, inclusive of adoptive and surrogate journeys • Relocation support for employees moving to join the team in one of our office locations • A mission-driven, low-ego culture that values diversity of thought, ownership, and bias toward action

Description We are seeking a talented Software Development Leader with a strong background in Large Language Models (LLM) and GenAI engineering. This is a unique opportunity to work with Deloitte US clients and engage in global projects, leveraging your extensive skills in generative AI tools. As a pivotal member of our team, you will be responsible for translating complex business problems into data-driven solutions, drafting methodologies, and executing innovative projects. In This Role You Will • Lead development of robust, efficient, and scalable Python code, ensuring adherence to best practices in software engineering and optimization for high-performance applications. • Utilize GenAI engineering tools such as LangChain, RAG, Agents, and Vector Database for implementation and optimization. • Stay updated with AI protocols and standards and ensure their correct application in projects. • Collaborate with other teams and team members to understand requirements and develop solutions. • Analyze complex problems, identify and define the computational requirements to solve them. Requirements • Minimum of 8 years of experience as a Back End developer. • Deep knowledge of Generative AI principles, including Large Language Models (LLMs) and RAG techniques and, modern deployment architectures. • Ability to lead team to design services, modules, APIs, and folder structures that enable REST API communication and facilitate a plug-and-play approach for various agent pods (compatible with langgraph, pydanticAI, etc.). • Practical Implementation: Hands-on experience in implementing and integrating new ideas and tools within the GenAI landscape. • Programming and Tools: Proficiency with Python, PySpark, Langchain, LlamaIndex, RAG, ChromaDB, QDrant, Weaviate, Neo4j, Knowledge Graphs, AWS Bedrock, GCP Vertex, Azure OpenAI, Git/GitHub, Docker, SQL, FastAPI, PyTorch/TensorFlow, and Pydantic. • Cloud Platforms: Experience with managed cloud services provided by hyperscalers such as AWS, Azure, or GCP. • Excellent problem-solving and analytical skills. • Degree in Computer Science, Artificial Intelligence, Machine Learning or a related field. • Advanced level of English. • Working Israeli permit – a must. Advantage • B.A/M.Sc. in Data Science, Computer Science, Mathematics, Statistics, etc. – an advantage. Full time Job Location: Tel Aviv, Hybrid We at Deloitte believe that diversity and inclusion among our people is a critical component of our success and that is why we cultivate an organizational culture that contains and embraces diversity in all its forms. Requirements Hebrew .