www.aibuildersday.com
For partnership information contact office@eventhandler.co.il
AI Builders is the premier conference for people who supercharge their work with AI—not just talk about it. We cut through the hype to focus on the real-world work of integrating AI into our SDLC, in complex production challenges, and engineering systems that perform reliably at scale.
Through practical talks, raw case studies, and deep technical discussions, you’ll gain a clear understanding of what actually works in complex environments, what breaks, and how to make better architectural decisions.
The target audience of AI Builders consists of experienced technology professionals who want to understand how Agentic AI is transforming the way companies develop software, build products, and manage engineering workflows.
The conference is designed for developers, AI Engineers, AI Builders, Tech Leads, Architects, Platform teams, and CTOs who are already working with AI or actively exploring how to integrate AI Agents and LLMs as a core part of their development and production environments.
Attendees come to learn, in a highly practical way:
- How to build and manage real-world AI Agents
- How to integrate Agentic Workflows into existing systems
- How to turn AI from a passive assistant into an active entity capable of executing tasks, making decisions, and orchestrating processes
- How to embed AI throughout the software development lifecycle — including: coding, testing, documentation, debugging, monitoring, and operations
- How to build the infrastructure that powers Agents: orchestration, memory, vector databases, observability, evaluation, and security
- How organizations are adopting Agentic AI in a scalable, secure, and production-ready manner
This is a highly technical audience looking for practical knowledge rather than theory — real-world architectures, demos, implementation strategies, lessons learned, and best practices from companies already building with Agentic AI in production.
Most attendees are the people leading AI adoption within their organizations — the professionals evaluating new technologies, defining engineering standards, and shaping the next generation of AI-powered development environments.