Vantaca
Sr. Applied AI Engineer
Wilmington, USA · Senior
Sponsorship not specified$275k-$400kDetected 60 days ago
PythonFull-Stack DevelopmentSQLDatabricksCI/CDDevOpsRESTOAuthMachine LearningLLMsRAGAccountingValuationCadenceUnityMentoring
About the role
- Who is Vantaca Powered by AI, Vantaca's vision is big!
- Our proactive AI capabilities don't just report on what happened; they predict what's coming and recommend what to do next.
- We need someone who can ship production-grade ML and LLM systems for our Implementation and Client Enablement teams.
Responsibilities
- you build internal tooling and do not stitch together
- you ask about access scoping and data classification before you build, not after
- We're building something cool and people like it here.
- 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.
- From intelligent document processing and predictive analytics to automated workflows and conversational interfaces, we're transforming how community management companies operate.
Requirements
- Python proficiency as your primary build language for automation and scripting
- AI/ML background is required;
Nice to have
- Resistance to structured planning upfront is a disqualifier for this role.
Skills
- 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)
Compensation
- $275k-$400k
Benefits
- you document your intent before you build and leave clear records of what you built and why
Company info
- 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.
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This listing is sourced directly from Vantaca's careers page and normalized into a canonical job model.