O pozici
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.
Co budeš dělat
- 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
Koho hledáme
- 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
- 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
- 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
