Sr. AI Automation Engineer

Vantaca+HOAi • Raleigh, NC

8h • Hybrid

About The Position

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 either the
Raleigh-Durham or Wilmington areas 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.

Requirements

• 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 intent documents before building; resistance to structured planning is a disqualifier
• Bias toward measurement: you build with evals in mind and define what "worked" means before you start
• Builder, not buyer: you build internal tooling and don't stitch together SaaS products
• Security-aware: you ask about access scoping and data classification before you build, not after
• Comfortable with ambiguity: requirements will shift; you orient toward the outcome
• Strong written communicator: you document your intent before you build and leave clear records of what you built and why

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

Benefits

• Medical, Dental, and Vision kick in day one
• Unlimited PTO (with a requirement for employees to take a minimum of one continuous week per year)
• 401K with Company Match
• Great parental leave benefits

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed