AI & Software Engineer - AI Data Platforms

For our AI Data Platform Group in Haifa, we seek an AI & Software Engineer to join the team leading the organization’s AI and GenAI transformation

The AI Data Platform Group is a core enterprise team responsible for the AI-native data platform and for leading the vision and development of the Company Brain. We build and manage the full AI and GenAI lifecycle, from infrastructure, data services, labeling, AI model development, and advanced data asset management, accelerating the shift into an AI and data-driven enterprise

As part of this role, you will help build the Company Brain, an enterprise intelligence platform connecting organizational knowledge, data, processes, people, and AI agents into a trusted, scalable ecosystem

You will work with advanced AI technologies, modern data platforms, and cross-organizational teams while shaping next-generation GenAI capabilities across the company

In this role you will

Define the architecture, technical roadmap, development, and company-wide rollout of the Company Brain platform

Design and develop scalable frameworks for connecting, ingesting, and unifying organizational data sources, knowledge bases, and enterprise systems

Drive adoption and implementation of the Company Brain across business and engineering domains, ensuring data is contextual, high quality, and ready for GenAI use

Design, develop, and maintain the enterprise data layer and cross-organizational data platforms supporting the company’s GenAI capabilities

Build core data services, ingestion and processing pipelines, data access and integration layers, and retrieval infrastructure such as RAG pipelines, vector stores, and semantic search to enable scalable, secure, and efficient AI adoption

Ensure data platforms are reliable, scalable, secure, governed, and accessible across the organization

Develop and integrate data-driven GenAI services addressing diverse organizational needs

Lead end-to-end projects from requirements through development to production deployment

Coordinate team plans, priorities, and delivery timelines while ensuring collaboration and alignment with stakeholders across multiple organizational interfaces

Promote engineering excellence through communication, documentation, ownership, and accountability

Continuously explore emerging GenAI and data platform capabilities

Share knowledge and best practices within the team and across the organization

Requirements

B.Sc. or M.Sc. in Computer Science, Software Engineering, or related field, or equivalent experience from elite IDF tech units

At least 3 years of experience developing production-grade software systems

Experience designing AI systems from concept to production

Strong development experience in Python and Linux environments

Hands-on experience with Generative AI technologies including LLMs, AI agents, multi-agent systems, RAG, MCP, context engineering, knowledge graphs, and agent orchestration

Hands-on experience with vector databases, semantic search, and large-scale RAG architectures

Proficiency with cloud and on-prem deployments

Proven technical leadership or lead engineer experience including planning, milestones, and delivery

Excellent collaboration, problem-solving, and communication skills across multidisciplinary teams and organizational interfaces

Experience designing and building enterprise-scale data platforms, pipelines, and data layers - Advantage

Experience with enterprise search, knowledge management, knowledge graphs, or semantic retrieval systems - Advantage

Experience with AI agent platforms and orchestration frameworks such as LangGraph, Semantic Kernel, AutoGen, CrewAI, or similar - Advantage

Familiarity with data governance, data quality, and data security in enterprise environments - Advantage

Experience with MLOps or LLMOps practices and CI/CD for AI and data systems - Advantage

Experience integrating diverse organizational data sources - Advantage

*Only relevant applications will be answered