Principal Software Architect (Distributed Systems)

Company Description

At IT Wolf Solutions, we specialize in tailored software development services to meet diverse business needs. Our team leverages cutting-edge technologies, industry best practices, and proven methodologies to deliver efficient and innovative solutions, always adhering to time and budget requirements. From pre-project consulting to post-implementation support, we assist clients every step of the way. Serving a variety of industries, we deliver solutions such as web and mobile application development, e-commerce platforms, big data engineering, healthcare software, and property management systems. Our mission is to create game-changing software products that address real business challenges while fostering innovation and thought leadership among our team.

Role Description

Confidential AI Legal Tech Platform

Build the Future of Law from a Clean Slate

This is an  exceptional opportunity  to join a foundational team building a groundbreaking  AI-Native Legal Operating Platform . Our mission is to define the next generation of legal technology for global impact and operational efficiency.

The Crux of the Opportunity:

• 100% Greenfield Development:  You will build the product from the ground up on a pristine, modern architecture.  There is absolutely no legacy code or technical debt to maintain.
• Commitment to the Frontier:  We operate with a policy of  "Latest and Greatest Technology."  You will select, implement, and master the most advanced tools available, including current frontier LLMs, advanced vector databases, and multi-agent orchestration frameworks.
• Team Ownership of Technology:  While the AI landscape evolves quickly,  your voice will be heard . The team will collectively steer the roadmap, debating and deciding on the best technical implementations to ensure the platform remains best-in-class.
• Cutting-Edge Stack:  We are leveraging the latest in  Agentic AI (Agent Kit, LangGraph)  and  Generative Models  within a robust,  multi-language stack  (Python/TypeScript).

Impact:  Your work will directly impact professional efficiency and profitability, moving legal practices from fragmented processes to intelligent, autonomous execution globally. Academic Requirement Note

A degree from a globally recognized institution, with a relevant specialization in Computer Science, Engineering, or a specialized data/AI discipline is strongly preferred. Candidates from leading Egyptian universities, including Alexandria University ,  The American University in Cairo (AUC), Cairo University, Ain Shams University, and Mansoura University, are highly encouraged to apply. Compensation and Why You Should Join

We recognize that building a platform on cutting-edge  Agentic AI  requires exceptional talent. Our compensation philosophy is designed to attract and retain the very best senior engineers, data scientists, and product leaders in the Egyptian market.

• Competitive Compensation & Future Equity:  We offer a salary and benefits package that is  highly competitive  and benchmarked against  top-tier global technology companies  operating in the region. High-performing senior talent will have the  potential to earn future company equity (stake/ownership) , ensuring you are direct stakeholders in our long-term success.
• Performance-Based Growth:  We are a rapidly scaling company, and we believe in rewarding impact. Exceptional performance will lead to substantial opportunities for salary growth and professional advancement as the product enters new phases.
• A Focus on Value:  Your contribution directly shapes the future of the legal industry. We prioritize attracting individuals who value  greenfield development, technical autonomy, and high-impact work  over legacy maintenance.

Job Requirements

• 6+ Years Experience Total, 3+ in Distributed Systems
• Leads System Design:  Architect and manage the complex  multi-agent orchestration  layer ( Agent Kit/LangGraph ).
• Experience implementing cross-platform protocols like  Agent-to-Agent (A2A)  or similar standards for inter-agent communicatio