Sr. AI Automation Engineer

Sr. AI Automation Engineer

Powered by AI, Vantaca's vision is big! We are the leading AI-native community management performance platform that enables owners and operators, community management teams, boards and associations to work smarter, faster, and with unprecedented insight. More than just accounting and management software, Vantaca is intelligent business operating software that leverages artificial intelligence to automate routine work, surface actionable insights, and help our customers increase revenue, efficiency, flexibility, and control.  Built on modern cloud architecture with a single-platform design, Vantaca combines comprehensive functionality that adapts to 100% of business processes with AI-powered automation that learns and improves over time. Our proactive AI capabilities don't just report on what happened; they predict what's coming and recommend what to do next. From intelligent document processing and predictive analytics to automated workflows and conversational interfaces, we're transforming how community management companies operate.  With seamless integrations across the software and banking ecosystem, we're building the intelligent hub for community management where AI doesn't just assist, it anticipates. Vantaca is focused exclusively on community management and is the trusted technology leader defining the AI-powered future of the community association management industry. We're building something fundamentally different, and our customers are experiencing the competitive advantage that comes from working with truly intelligent software.  Vantaca just achieved unicorn status with a $1.25B valuation, so it's safe to say we're past the "scrappy startup phase." We're not just building a successful company, we're building the category-defining platform that will transform how an entire industry operates.
As part of that growth, we're building out our second engineering and product hub in Raleigh-Durham and we're looking for the people who'll help shape it from the ground up. This is a hybrid position, so candidates local to the Raleigh-Durham area are encouraged to apply. 

Overview

We are building a world-class internal automation practice and we need someone who sees a manual process and immediately starts mentally eliminating it. This is not a prompt engineering role or an AI exploration sandbox. You'll build production-grade automation infrastructure that is spec-anchored, evaluated, and deployed, reducing manual burden across our Product, AI Enablement, and Engineering teams.
You'll partner daily with Product, AI Enablement, and Engineering, embedding as a trusted builder, not a service provider. This is a high-trust, high-autonomy role. You'll own your problem space end to end.

Responsibilities

• Design and ship internal AI-powered automations that eliminate repeatable manual workflows across Product, AI Enablement, and Engineering
• Build RAG pipelines, retrieval systems, and context engineering patterns that allow agents to operate reliably on internal knowledge
• Architect prompt and context engineering workflows that are versioned, traceable, and reusable (not one-off prompts)
• Integrate internal and external APIs (REST, webhooks, OAuth) to connect automation workflows with the tools and data our teams depend on
• Build eval infrastructure alongside every automation: define success criteria before writing a line of code, then measure whether the automation actually worked
• Own the full DevOps lifecycle for internal tooling: CI/CD pipelines, IaC, containerization, and deployment reliability
• Maintain security-aware practices across every build, treating data governance and access scoping as design constraints, not afterthoughts
• Contribute to Vantaca's automation infrastructure as a compounding asset, where every build makes the factory better for the next one

Requirements

• 10+ total years of engineering experience
• You use AI tools (Claude, Cursor, Claude Code, or equivalent) as a core part of your daily workflow
• You build AI workflows and are excited to eliminate manual processes
• AI/ML background is required; CS or AI/ML academic track preferred
• Python proficiency as your primary build language for automation and scripting
• API integration experience: REST, webhooks, OAuth. Real integrations, not just the docs
• RAG and retrieval system experience: chunking, embedding strategies, retrieval quality, hallucination mitigation
• Prompt and context engineering: you understand why context boundaries matter and have a strategy for what to persist vs. retrieve
• DevOps fundamentals: CI/CD, Infrastructure as Code, containerization. You ship and maintain what you build
• Spec-first by default: you write detailed i