Staff Software Engineer, AI-Augmented Enterprise Applications

CINC Systems is the leading provider of accounting and management software for the community association management industry. They are seeking a Staff Software Engineer to design and build intelligent enterprise systems across their platform, integrating AI capabilities into operational workflows and enhancing software development practices.

Responsibilities:

• Design and build scalable enterprise SaaS applications and integrations
• Lead cross-team technical initiatives involving AI enabled workflows and operational systems
• Work closely with product, operations, and customer-facing teams to understand real business problems
• Integrate AI capabilities into enterprise applications in practical, maintainable ways
• Contribute to architectural patterns for APIs, event-driven systems, and microservices
• Mentor engineers and help raise the technical bar across teams
• Leverage AI augmented engineering workflows to improve development speed and quality
• Participate in RFCs, architecture reviews, and broader engineering strategy discussions

Requirements:

• 8+ years of experience building enterprise SaaS applications or large scale business systems
• Strong backend and full stack engineering experience
• Experience designing APIs, microservices, integrations, and event-driven architectures
• Strong understanding of system design, scalability, and operational reliability
• Experience building customer-facing enterprise workflows and operational tooling
• Experience working with CRM or enterprise workflow systems such as Salesforce, Dynamics, HubSpot, or similar platforms
• Familiarity with customer lifecycle workflows including sales, onboarding, service, support, and communications
• Experience integrating enterprise SaaS platforms through APIs, events, or middleware systems
• Experience using AI assisted software engineering tools and workflows in production environments
• Practical understanding of how AI can improve software delivery, automation, and customer experiences
• Ability to evaluate build versus buy decisions around AI tooling and enterprise capabilities
• Strong communication skills with both technical and non-technical stakeholders
• Demonstrated ability to lead initiatives across teams through influence and credibility
• Comfortable mentoring engineers and helping teams navigate ambiguity
• Structured thinker capable of simplifying complex systems and workflows
• Builder's mindset focused on outcomes, customer value, and long term system quality
• Believes AI is an amplifier of strong engineering fundamentals, not a replacement for them
• Curious and learning-oriented with strong systems thinking ability
• Collaborative, humble, and highly reliable
• Values craftsmanship, clarity, and thoughtful decision making
• Familiarity with modern AI platforms, orchestration frameworks, or LLM based workflows is a plus