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.