Staff Engineer, Applied AI

LOCATION
:
Worldwide (Remote-first / Hybrid optional)

REPORTS-TO
: AI Engineer, Lead

CINC Systems

CINC Systems is the largest provider of accounting and management software in the community association management industry and the innovator behind accounting and banking integration. Founded in 2005 by a banker as the industry's first SaaS offering, CINC Systems now employs nearly 300 people and provides software and applications to more than 50,000 associations servicing over 5 million doors. In January of 2024, Hg Capital made a significant investment in CINC to accelerate the company’s growth trajectory and institute rapid product development.

We are now building the next generation of AI‑enabled, modular, and intelligent software that infuses automation, reasoning, and context‑aware assistance across our ecosystem. This role is a cornerstone in that transformation.

As a Staff Engineer for Applied AI, you will design and build the systems that power CINC’s AI‑native capabilities, from intelligent copilots and search assistants to reasoning‑driven workflows across our platform.

You will be a hands‑on builder and technical thought leader, translating ideas into reliable, scalable systems that integrate large language models, orchestration frameworks, and cloud‑native infrastructure. You will collaborate closely with Applied AI, Platform, and Product teams to accelerate the development of features that make complex work simpler and smarter for our users.

This role is ideal for someone who combines strong engineering depth with product instincts, curiosity, and a collaborative mindset.

• Design, develop, and maintain AI‑powered backend services using Type Script and Node.js, deployed on cloud‑native infrastructure such as AWS, GCP, or Vercel
• Integrate large language models (LLMs) from providers like OpenAI, Anthropic, and Groq, optimizing for performance, reliability, and safety
• Build agentic systems using frameworks such as Lang Graph, Lang Chain, or Semantic Kernel, with memory, tool use, and planning strategies
• Architect and maintain retrieval‑augmented generation (RAG) pipelines and embedding stores using vector databases such as Weaviate, Pinecone, or Postgres pgvector
• Implement AI observability and evaluation using tools such as Lang Smith, Lang Fuse, or Helicone to monitor performance, token usage, and user feedback
• Define API contracts and service boundaries for AI components that integrate seamlessly into CINC’s microservice and event‑driven architecture
• Collaborate cross‑functionally with Product, Design, and Engineering leadership to deliver chat interfaces, copilots, workflow assistants, and intelligent search
• Contribute to AI safety, governance, and compliance practices, including prompt injection prevention, PII handling, and cost optimization strategies
• Evaluate build versus buy options for AI and platform components, balancing speed, flexibility, and long‑term maintainability
• Mentor engineers on AI integration, testing, and system design to raise the overall bar for AI craftsmanship
• Stay current with emerging LLM frameworks, open‑source tools, and research to continuously improve architectural patterns and developer experience

• 8+ years of software engineering experience with deep fluency in Node.js and Type Script
• Proven ability to design and deploy AI‑first architectures that combine backend engineering with model orchestration
• Strong working knowledge of Lang Graph, Lang Chain, or similar orchestration frameworks
• Experience integrating APIs from OpenAI, Anthropic, or Groq, and managing tokens, context windows, and streaming responses
• Familiarity with vector databases, semantic search, and embedding pipelines
• Solid understanding of API design, microservices, and system integration patterns
• Practical experience with cloud‑native environments (AWS, GCP, or equivalent), including serverless compute and containerized deployments

• Demonstrated ability to lead through influence, setting technical direction and raising standards for quality and maintainability
• Skilled in communicating complex AI trade‑offs and…