Senior Applied AI Engineer

🔥 3 hours ago

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CINC Systems

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2005

☁️ SaaS

🏠 Real Estate

🤝 B2B

💰 Private Equity Round - CINC Systems on 2023-12

SaaS • Real Estate • B2B

CINC Systems is a cloud-based, all-in-one software platform for community association management (HOAs and COAs) that helps management companies, boards, and homeowners streamline operations and improve resident experience. The platform provides financial management and oversight (including online payments and a secure payment portal), AI-driven reporting and forecasting (Cephai), communication and resident engagement tools, online voting and surveys, maintenance/work-order coordination, compliance tracking, and centralized data and insights. CINC targets professional association management firms and homeowner boards with automation, security, and scalability; the company reports 1,000+ association management company customers, 51,000+ homeowner associations served, 6M+ doors, and $11B+ payments processed annually.

📋 Description

• Design, build, and operate AI-enabled features within production SaaS applications • Integrate large language models and other ML capabilities into existing systems • 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

🎯 Requirements

• 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

🏖️ Benefits

• Innovation-driven culture • Team-oriented environment • Commitment to building long-term value for customers and employees