Stuut

Member of the Technical Staff — AI/ML

Stuut
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5 months ago
San Francisco, CA, USA or New York, NY, USASenior

Base Salary

$220k - $375k/yr

Responsibilities

  • Build and deploy production-ready AI applications for customer financial workflow challenges.
  • Implement and optimize invoice matching, payment reconciliation, and financial document processing capabilities.
  • Adapt and fine-tune LLMs, RAG systems, and other AI architectures for financial use cases.
  • Develop scalable AI pipelines spanning data ingestion through inference.
  • Design AI-powered automations that reduce manual effort in finance operations.
  • Partner with Product, Engineering, and customers to translate business needs into AI solutions.
  • Create evaluation frameworks to measure AI system performance and business outcomes.

Requirements

  • At least 5 years of software engineering experience, including at least 2 years focused on applied AI/ML in production environments.
  • Experience integrating and fine-tuning LLMs for real-world applications.
  • Experience building retrieval-augmented generation systems for document-intensive workflows.
  • Understanding of MLOps practices, including model deployment pipelines, monitoring, and A/B testing.
  • Fluency in Python and experience with PyTorch, TensorFlow, and Transformers.
  • Experience shipping AI products that solve real business problems.
  • Strong experience with data preprocessing and feature engineering for AI.
  • Ability to translate business requirements into clear technical solutions.
  • Experience integrating AI systems into existing enterprise platforms.

Benefits

  • Medical, dental, and vision insurance for U.S.-based full-time employees
  • 401(k) with company match
  • Equity package
  • Flexible paid time off
  • Parental leave

Tech Stack

PythonPyTorchTensorFlow
Stuut

About Stuut

11-50 employees

Stuut is the AI platform that does accounts receivable work instead of just assisting with it. We collect 40% more revenue for businesses by autonomously handling their entire AR process—from customer outreach to payment collection—with seamless integration that's live in days, not months. We're backed by some of the best investors: a16z, Khosla, Activant, 1984, Carya, and Page One. Also, we are hiring!

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