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Sr. Applied AI Engineer

Vantaca

RaleighHybrid4w ago
Employment
Full-time
Seniority
Senior

About the role

  • 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.
  • 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
  • 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
  • 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
  • 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
  • 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. 
  • 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. 

Perks & benefits

  • 401k
  • Unlimited Vacation
  • Paid Time Off
  • Pension Matching

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