Vantaca-posted about 2 months ago
Full-time • Mid Level
Remote • Wilmington, NC
251-500 employees
Professional, Scientific, and Technical Services

HOAi is a fast-growing startup revolutionizing the community association management industry. Our AI workforce platform integrates machine learning technology to streamline labor-heavy processes, eliminating inefficiencies and driving scalability. With rapid growth in the AI space, we are pushing boundaries to redefine industry standards. HOAi is the leading AI solution for the community association management industry, enabling organizations to deploy AI Agents that function like experienced managers. These AI Agents go beyond traditional AI by proactively executing complex, multi-step processes with human-like reasoning-working autonomously, 24/7, across your entire operation. This transformation optimizes labor costs, enables growth without additional hires, and ensures faster, higher-quality service for residents and board members. HOAi was acquired by Vantaca in the fall of 2024. 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. Here's the reality of our trajectory: Growing 100% year-over-year Our AI product (HOAi) went from $0 to millions in months Backed by Cove Hill Partners and JMI Private Equity 6M+ doors on our platform, displacing legacy systems The Lead AI Infrastructure Engineer at HOAi is responsible for scaling and maintaining the infrastructure that powers our AI-driven products and services. This role sits at the intersection of infrastructure engineering, machine learning operations, and product development, ensuring our AI systems operate with exceptional reliability, performance, and efficiency. The ideal candidate is someone who gets excited about making AI systems fundamentally faster and more scalable. You'll work directly with our engineering and product teams to build the foundational infrastructure that enables HOAi to deliver the most advanced AI product in the community association management industry.

  • Profile and optimize database queries, API endpoints, and ML inference pipelines
  • Implement caching strategies, connection pooling, and distributed systems for scale
  • Monitor and optimize GPU utilization, memory usage, and compute costs
  • Design load balancing and auto-scaling policies for variable AI workloads
  • Build disaster recovery systems with redundancy
  • Build and maintain CI/CD pipelines specifically for model deployment
  • Implement model versioning, A/B testing infrastructure, and rollout mechanisms
  • Create automated testing frameworks for model quality and performance regression
  • Develop infrastructure for model monitoring, drift detection, and retraining workflows
  • Manage experiment tracking and model registry systems
  • Implement comprehensive monitoring, logging, and alerting across the AI stack
  • Refine dashboards for real-time visibility into system health and performance
  • Conduct post-mortems and implement reliability improvements
  • Design circuit breakers, retry logic, and graceful degradation for critical services
  • Refine security best practices for AI infrastructure and data handling
  • Ensure compliance with data privacy regulations and industry standards
  • Manage credentials and access control across infrastructure
  • Support security audits and vulnerability assessments
  • Work closely with Product & Engineering team to understand infrastructure needs and to enable fast, safe feature deployment
  • Document infrastructure architecture, runbooks, and operational procedures
  • Mentor team members on infrastructure best practices and tooling
  • Contribute to technical strategy and architectural decisions
  • 3-7 years of experience in infrastructure engineering, DevOps, or SRE
  • Strong cloud platform expertise
  • Experience building and maintaining deployment pipelines
  • Experience with PostgreSQL, Redis, or other production databases
  • Experience with APM tools, metrics, logging, and alerting
  • Familiarity with vector databases, model serving frameworks and cross-system observability and traceability
  • Managing and optimizing GPU work
  • Real-time inference with low-latency serving infrastructure
  • LLM deployment
  • Track record of achieving 10x performance improvements
  • Able to debug complex distributed systems and find root causes
  • Obsessed with latency, throughput, and resource efficiency
  • Defaults to automating repetitive tasks and building scalable solutions
  • Understands security implications and implements best practices
  • Able to explain complex technical concepts clearly
  • Works effectively across teams and functions
  • Takes initiative to identify and solve problems before they become critical
  • Comfortable with ambiguity and changing priorities in a fast-moving startup
  • Supporting A/B deployment strategy
  • 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.
© 2024 Teal Labs, Inc
Privacy PolicyTerms of Service