SaaS product Ai engineer

We're building a next-generation, AI-powered B2B SaaS platform designed to unify enterprise intelligence, workflow automation, and decision support into a single, scalable ecosystem. This is a complex, enterprise-grade platform—not a traditional CRUD application. We're looking for an experienced Software Architect or Senior/Staff Software Engineer who can help translate an extensive product vision and architecture into a secure, scalable, production-ready platform. What You'll Work On Our platform brings together multiple advanced technologies, including: AI Agent Operating System Multi-Agent AI Orchestration Enterprise Knowledge Graph Predictive Intelligence Engine Executive Decision Intelligence Workflow Automation Enterprise Integrations Document Intelligence Real-Time Notifications Multi-Tenant SaaS Architecture Role-Based Workspaces AI-Assisted Decision Support We've already completed a comprehensive product specification, system architecture, and platform roadmap. Your role will be to help evolve this foundation into a high-quality, production-ready system by making key architectural decisions, designing scalable services, and leading the implementation of core platform components. What We're Looking For Extensive experience designing and building large-scale SaaS platforms. Strong software architecture and system design expertise. Experience with distributed systems and cloud-native applications. Deep understanding of enterprise application development and scalable backend architectures Experience integrating AI/LLM technologies into production systems. Knowledge of workflow orchestration, event-driven architectures, and enterprise integrations. Experience designing secure, multi-tenant SaaS platforms. Strong problem-solving skills and the ability to work from high-level architecture through production implementation. Responsibilities Translate architecture and technical specifications into production-ready software. Design scalable, maintainable, and secure system architecture. Build core platform services and infrastructure Collaborate on technical strategy, implementation planning, and architecture reviews. Ensure performance, reliability, scalability, and security across the platform Establish engineering best practices, coding standards, and technical documentation. Work closely with product and AI teams to deliver enterprise-grade capabilities.