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Member of the Technical Staff — Applied AI

Stuut uses AI agents to accelerate cash collection by automating the accounts receivable process, from invoice generation to payment application. This results in faster decision-making, reduced Days Sales Outstanding (DSO) and lower transaction costs to optimize working capital. We're backed by top-tier investors including a16z, Khosla, Activant, 1984 Ventures and Page One.

What You’ll Do Here

We're seeking an exceptional Senior Applied AI Engineer to drive the practical implementation and deployment of AI solutions within our financial operations platform. This role focuses on taking AI research and models and transforming them into production-ready systems that solve real-world financial challenges. The ideal candidate combines deep expertise in applied AI with strong engineering skills and a passion for bridging the gap between AI capabilities and business impact.

Your Impact at Stuut

  • Build and deploy production AI applications that directly solve customer financial workflow challenges

  • Implement and optimize AI-driven features including intelligent invoice matching, automated payment reconciliation, and financial document processing

  • Design practical AI solutions by adapting and fine-tuning existing models for specific financial use cases

  • Develop robust AI pipelines from data ingestion to model inference, ensuring reliability and scalability in production environments

  • Create AI-powered automation workflows that reduce manual financial operations tasks

  • Collaborate closely with product teams to translate business requirements into effective AI solutions

  • Implement evaluation frameworks to measure AI system performance and business impact

  • Drive adoption of AI solutions by working with customers to understand their needs and optimize system performance

What You’ll Need to Succeed

  • 5+ years of software engineering experience, with at least 2 years focused on applying AI/ML in production environments

  • Extensive hands-on experience with practical AI implementation, including:

    • Large Language Models (LLMs) integration and fine-tuning for business applications

    • Retrieval Augmented Generation (RAG) systems for document processing

    • Production MLOps and model deployment pipelines

    • AI model optimization and performance tuning

  • Strong programming skills in Python and experience with AI frameworks (PyTorch, TensorFlow, Transformers)

  • Proven track record of shipping AI products that solve real business problems

  • Experience with AI system integration into existing software platforms

  • Deep understanding of production ML systems, including monitoring, A/B testing, and continuous improvement

  • Strong background in data preprocessing and feature engineering for AI applications

  • Excellence in translating business requirements into technical AI solutions

What We’ve Got for You

  • Competitive salary and equity package

  • Health, dental, and vision insurance

  • Flexible PTO policy

  • Parental leave

  • Professional development budget

  • Remote-friendly work environment

  • Opportunity to shape the future of financial AI

  • Work with cutting-edge AI technologies

  • Collaborative and innovation-focused culture

Your Growth Journey

You'll have the opportunity to:

  • Shape the technical direction of our AI systems from the ground up

  • Solve complex problems in financial document processing and automation

  • Work with the latest developments in AI/ML technology

  • Build systems that process millions of financial transactions

  • Contribute to the growing field of financial AI

Stuut is an equal opportunity employer. No applicant will face discrimination based on race, ethnicity, national origin, religion, age, gender, sexual orientation, gender identity, disability status, parental status, veteran status or any other characteristic protected by law.

Average salary estimate

$165000 / YEARLY (est.)
min
max
$140000K
$190000K

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The accounts receivable platform that does the only thing that matters—getting paid on time. Backed by some of the best investors: Khosla, Activant, 1984, Carya and Page One. Also, we are hiring!

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DATE POSTED
August 5, 2025
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