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Applied AI Engineer

Rillet· Engineering, Product & Design
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Hybrid (San Francisco), Hybrid (New York City)$160k - $350k + equityFull-timePosted 7mo ago

About the role

Applied AI Engineer on Rillet's AI & ML team, building production AI systems at the intersection of LLMs, ERP workflows, and financial data. Owns end-to-end features from model integration to infrastructure, with daily impact on finance teams at customers like Juicebox, Scribe, and Sotheby’s.

Responsibilities

  • Own AI features end-to-end: from designing agentic systems to the infrastructure that runs them in production at scale.
  • Work on genuinely hard problems: financial data is structured, high-stakes, and unforgiving, making it one of the more interesting domains to apply LLMs to.
  • Build the evaluation frameworks and experimentation loops that turn good models into reliable, production-grade systems.
  • Partner directly with product and domain experts to push the frontier of what AI can do inside an ERP, not just what’s been done before.

Qualifications

  • 3+ years in a technical role with a strong foundation in Machine Learning and data analysis or backend systems
  • 2+ years shipping production AI systems with real users and real stakes
  • Hands-on experience with production LLM applications: agentic systems and offline/online evals to make them reliable
  • Proficiency in Python and comfort working across the full stack to deliver end-to-end features
  • Strong product instincts and a habit of thinking about user impact, not just technical correctness
  • Drawn to hard, ambiguous problems and energized by building in an environment where the playbook is still being written

Skills

Required:PythonFull-stack developmentProduction LLM applications

Benefits

  • Equity (eligible)
  • Benefits (as part of total compensation)
  • Hybrid work schedule with in-person days Tue and Thu, plus an additional flexible day per week
Last updated Oct 21, 2026. Interested? Apply on the company site.

About Rillet

The AI-native ERP

Rillet automates majority of month-end close and offers powerful GAAP and investor reporting. The software has built-in revenue recognition, invoicing, and AI-powered accounting.

AI-powered accountingERPai-agents-and-applicationsautomated invoicingfinancial reportingrevenue recognitionwing-list-2026wing-list-2026-mid-stage
Company profileWebsite

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