Sr. Applied AI Engineer

Who is Vantaca

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,boardsand associations to work smarter, faster, and with unprecedented insight. More than just accounting and management software, Vantaca is intelligent business operating software thatleveragesartificial 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 capabilitiesdon'tjustreport onwhat happened; they predictwhat'scoming and recommend what to do next. From intelligent document processing and predictive analytics to automated workflows and conversational interfaces,we'retransforming how community management companiesoperate.

With seamless integrations across the software and banking ecosystem,we'rebuilding the intelligent hub for community management where AIdoesn'tjustassist,itanticipates. 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'rebuilding 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, soit'ssafe to saywe'repast the "scrappy startup phase."We'renot just building a successful company, we'rebuilding the category-defining platform that will transform how an entire industryoperates.

Overview

We are building a world-class Applied AI practice inside Vantaca's Applied AI team. We need someone who can ship production-grade ML and LLM systems for our Implementation and Client Enablement teams. This is not a prompt engineering role or an AI exploration sandbox. You will build systems that are evaluated, deployed, and observed - owning the gap between "interesting model" and "thing that reliably runs in production."

You will partner with Implementation PMs, Solution Consultants, and Client Enablement Specialists to identify the highest-leverage problems and ship tooling that removes friction across the client lifecycle. The work is high-trust and high-autonomy - you own your problem space end to end.

What you'll work on

• Our Implementation and CE teams have a validated backlog of high-value AI builds - risk surfacing, workflow intelligence, client coaching, configuration assistance - and no dedicated engineering resources to execute on them. You change that.

Concretely, you'll:

• Design and ship ML and LLM systems spanning supervised models that predict and rank, retrieval and generation systems that draft and summarize, and agentic workflows that act on internal data
• Build evaluation infrastructure alongside every system - define success criteria before writing code, measure whether the system worked, and catch regressions before users do
• Architect RAG, retrieval, and context engineering patterns that let LLMs operate reliably on internal knowledge and production data
• Reason rigorously about modeling choices - label definition, leakage, time-aware splits, calibration, precision-at-k vs AUC, when a heuristic baseline beats a model
• Work directly in Databricks and Unity Catalog - understand the operational data, write the SQL, and build systems that act on it
• Own deployment and monitoring for everything you ship - feature drift, outcome tracking, LLM eval regression, retraining cadence, rollback paths
• Treat data governance and access scoping as design constraints, not afterthoughts
• Maintain versioned, traceable LLM workflows - prompts and context patterns that are reusable, not one-off

What we're looking for

• Production experience shipping both classical ML and LLM systems - strong opinions on when to use which
• An eval-first mindset - you don't trust a system you haven't measured, and you build the measurement before the model
• Fluency in a data warehouse environment - SQL, time-aware feature engineering, leakage discipline
• Production scars - you've watched a model degrade in the wild, seen a label loop bias itself, caught an LLM provider regression with the prompt unchanged
• Cost intuition - you can napkin-math the unit economics of an LLM workflow before committing to it
• Ability to scope work in partnership with non-technical stakeholders, translating their pain into a buildable system
• Comfort with distinguishing the business metric from the model metric, and arguing for the right one

Requirements

Technical Requirements

• You use AI tools (Claude, Cursor, Claude Code, or equivalent) as a core part of your daily workflow. Not occasionally. As a thinking partner and execution accelerator.
• Python proficiency as your primary build language for automation and scripting
• Full-stack range: comfortable building APIs, automations, integrations, and lightweight UIs without needing a separate front-end resource
• SQL and data fluency: you will work regularly in our data warehouse and need to understand and act on operational data directly
• API integration experience: REST, webhooks, OAuth
• 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.
• AI/ML background is required; CS or AI/ML academic track preferred

Mindset and Approach

• Spec-first by default: you write detailed intent documents before building. Resistance to structured planning upfront is a disqualifier for this role.
• Bias toward shipping: you prefer a v1 in two weeks over architecting a v3 for two months
• Product sense for non-technical users: you can translate operational pain into a scoped technical solution without requiring a detailed spec from the person who has the problem
• Comfortable as the first and only: you are energized by operating as the sole AI engineer in a domain, without a peer engineering org to lean on day to day
• Builder, not buyer: you build internal tooling and do not 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

Core Values

• Always Growing: Likes change and enjoys finding new ways to improve their knowledge and the product. Always ready to learn quickly, helping themselves and the team grow.
• Win as a Team: Builds trust and works together by making sure everyone communicates well. Actively involved in daily work, working closely with the team, listening to their ideas, and celebrating successes together.
• Accountability Starts with Me: Notices problems and takes personal action to solve them.
• Unwavering Commitment to Customer Experience: Regularly talks to residents and management companies, taking personal responsibility to understand what they need, address concerns, and make their experience better with improved Vantaca processes.
• Innovate Boldly: We challenge the status quo and push boundaries to create meaningful change. We act with urgency and purpose, knowing that innovation drives our success.

Why You Should Join Our Team

• Build consumer products that millions use. Shape how homeowners across the country interact with their communities every day.
• AI-First Product Culture with access to cutting-edge tools and autonomy to experiment.
• Our eNPS is +68! (Google it, that is great)
• 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
• Remote Flexible - come to the office when needed
• Great parental leave benefits
• Unicorn-stage growth: $1.25B valuation, $300M Series C, scaling from 275 to 400+ employees
• Named on Inc 5000 list of America's Fastest Growing Private Companies
• Named on Inc 5000 Vet 100 Private Companies list multiple years in a row
• Winner of Coastal Entrepreneur Award, Technology Category
• Active employee-led Culture Committee
• Ongoing industry and professional development trainings available to all employees
• Multiple leaders on the executive committee recognized as 40 under 40 recipients for contributions to business and community
• We're playing offense to win! Our product market fit and our world-class employees make us the leader in our space. We're building something cool and people like it here.

We receive many resumes for our open positions and each one is reviewed by a human being on our recruiting team. We will compare your background with the qualifications and requirements for the position.

If you are selected for an interview you will receive an e-mail from someone on our recruiting team with an @vantaca.com email address. It may take some time for us to review all of the applications so give us some time to respond. We appreciate your interest in this role.