AI Architect / Tech Lead (Hands-on)

About Fireberry

Fireberry is an end-to-end CRM and business management platform that helps companies manage their entire customer journey—from marketing and sales to customer success and support—all in one powerful platform.

Founded in 2011, Fireberry serves over 2,000 businesses across Israel and is entering an exciting new chapter with a strong focus on AI, automation, and building the next generation of intelligent business software.

We're looking for an exceptional AI Architect / Tech Lead (Hands-on) to help shape the future of our platform.

About the Role

This is a highly technical, hands-on leadership role for someone who loves solving complex engineering challenges.

You'll lead the architecture and development of our AI initiatives while remaining deeply involved in coding, technical decision-making, and mentoring the engineering team.

If you're passionate about building AI-native products, designing scalable systems, and leveraging the latest AI technologies to accelerate development—you'll fit right in.

What You'll Do

• Design and lead the architecture of complex AI-powered features and services.
• Build scalable Full Stack solutions using Node.js and React.
• Develop AI-native products using modern LLM technologies.
• Drive technical decisions, architecture, and engineering best practices.
• Mentor developers through hands-on technical leadership.
• Work closely with Product, Design, and Customer Success to deliver impactful solutions.
• Explore and adopt the latest AI tools to improve both our product and development workflows.

What We're Looking For

• 7+ years of Full Stack development experience.
• Strong hands-on experience with Node.js and React.
• Proven experience designing complex system architectures.
• Excellent knowledge of SQL and database design.
• Strong experience with AWS services and cloud-native applications.
• Deep understanding of modern software development processes and best practices.
• Hands-on experience building products with LLMs, AI Agents, RAG, MCP, and modern AI development tools.
• Experience using AI extensively as part of the software development lifecycle—not just for experimentation.
• Excellent communication skills and the ability to lead technical initiatives while remaining hands-on.