Staff Software Engineer, AI-Augmented Enterprise Applications

Role Description

We are hiring a Staff Software Engineer, AI-Augmented Enterprise Applications to help design and build intelligent enterprise systems across the CINC platform. This is a senior hands-on engineering role for someone who combines strong software engineering expertise with practical experience building customer-facing enterprise applications. The ideal candidate understands both modern AI-augmented software engineering workflows and the realities of enterprise SaaS platforms including CRM, workflow, and operational systems.

You will work across product, platform, operations, and AI initiatives to help build systems that are reliable, scalable, and deeply aligned with customer workflows.

Key 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

Qualifications

• 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
• Familiarity with modern AI platforms, orchestration frameworks, or LLM based workflows is a plus
• 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

What Success Looks Like

• Enterprise workflows become simpler, more intelligent, and more automated for customers and internal teams.
• AI capabilities are integrated into the platform in ways that are practical, maintainable, and trusted.
• Engineering teams move faster because of improved tooling, patterns, and architecture.
• Cross-functional initiatives succeed because systems and teams are aligned effectively.
• The Staff Software Engineer is recognized as a trusted technical leader who improves both the platform and the engineering organization around them.