Senior Applied AI Engineer

Senior Applied AI Engineer  Location: Worldwide (Remote/Hybrid)  Reports to: Staff Applied AI Engineer   Senior Applied AI Engineer    About CINC Systems  CINC Systems is the leading provider of accounting and management software for the community association management industry. Our platform supports tens of thousands of associations and millions of homes, operating in a complex, multi-tenant SaaS environment with high expectations for reliability, security, and scale.    We are embedding applied AI into the core of our products and engineering workflows to deliver meaningful customer value. The Senior Applied AI Engineer plays a critical role in turning AI capabilities into reliable, scalable software systems.    About the Role  The Senior Applied AI Engineer is a hands-on software engineer specializing in the practical application of AI within production systems. This role sits at the intersection of software engineering, system design, and applied machine learning, with a focus on building AI-enabled features that are observable, testable, and safe.    This is not a research role. It is a product- and systems-oriented role for an engineer who understands that AI is an amplifier of engineering fundamentals and who can balance experimentation with operational discipline.    Key Responsibilities  Design, build, and operate AI-enabled features within production SaaS applications  Integrate large language models and other ML capabilities into existing systems with attention to reliability, latency, and cost  Design AI workflows including retrieval, orchestration, evaluation, and fallback strategies  Partner with product and design teams to translate user needs into intelligent system behavior  Collaborate with platform and DevSecOps teams to ensure AI systems are secure, observable, and scalable  Build evaluation strategies to measure quality, regressions, and business impact of AI features  Contribute to system and service design to ensure AI capabilities fit cleanly into overall architecture  Apply strong software engineering practices including testing, code review, and incremental delivery  Mentor other engineers and share best practices for applied AI development  Stay current with evolving AI tools and techniques, applying them pragmatically where they add value  Qualifications  Technical Expertise  8+ years of professional software engineering experience  Hands-on experience building and shipping AI-enabled features in production  Strong foundation in system design, APIs, and distributed systems  Experience working with LLMs and other ML models   Familiarity with evaluation, monitoring, and observability of AI workflows  Experience with cloud-native architectures and managed cloud services  Comfort working across backend services, data pipelines, and user-facing systems  Collaboration and Judgment  Strong communication skills, able to explain AI trade-offs clearly  Structured thinker with good engineering judgment  Comfortable operating in ambiguity and iterating based on feedback  Ability to work cross-functionally with product, platform, and data teams  Bias toward shipping value safely and incrementally  Mindset and Values  Builder mindset with pride in reliable, maintainable software  Believes AI amplifies both good and bad engineering practices  Customer-focused, measuring success through real-world impact  Learning-first attitude and intellectual humility  Calm under pressure and disciplined in execution  Values teamwork and shared ownership  What Success Looks Like  AI-enabled features deliver measurable customer and business value  AI systems are reliable, observable, and cost-effective  Engineering teams can safely build on shared AI patterns and infrastructure  AI experimentation leads to production outcomes, not dead ends  The Senior Applied AI Engineer is trusted as a practical expert and partner across teams  CINC is an Equal Opportunity Employer of women, minorities, protected veterans and individuals with disabilities.