Artificial Intelligence Engineer

Who We Are

Stuut is an engineering-driven company revolutionizing B2B financial operations through cutting-edge AI technology. Backed by top-tier investors including Khosla, Activant, 1984 Ventures, Vesey and Page One, we're building intelligent systems that transform how businesses handle financial workflows. Our AI-powered platform tackles complex challenges in invoice matching, payment reconciliation, and automated financial operations.

What You’ll Do Here

We're seeking an exceptional Senior/Staff AI Engineer to drive the development of our core AI systems and infrastructure. This role will be instrumental in building and scaling our AI capabilities, from RAG pipelines to custom model fine-tuning for financial applications. The ideal candidate combines deep technical expertise in AI/ML with strong systems engineering skills and a passion for solving complex financial technology challenges.

Your Impact at Stuut

Design and implement production-grade AI systems, including RAG pipelines, fine-tuning workflows, and MLOps infrastructure

Lead the development of intelligent systems for invoice matching, payment reconciliation, and financial document processing

Architect and build scalable data pipelines to support AI model training and inference

Develop and implement AI planning systems for automated financial workflows

Drive technical decisions around model selection, fine-tuning strategies, and system architecture

Collaborate with product and engineering teams to integrate AI capabilities into our core platform

Establish best practices for model evaluation, monitoring, and performance optimization

Contribute to building a strong AI engineering culture

What You’ll Need to Succeed

4+ years of software engineering experience, with at least 2 years focused on building production AI systems

Extensive experience with modern AI/ML technologies, including: * Large Language Models (LLMs) and fine-tuning * Retrieval Augmented Generation (RAG) * MLOps and model deployment * Vector databases and efficient retrieval systems

Strong programming skills in Python and experience with AI frameworks (PyTorch, TensorFlow, etc.)

Proven track record of building and deploying large-scale AI systems in production

Deep understanding of ML infrastructure, including training pipelines and serving architectures

Experience with data pipeline development and large-scale system integration

Strong background in backend systems development and distributed systems

Excellence in technical communication and documentation

Nice-to-Haves

Master's or PhD in Computer Science, Machine Learning, or related field

Research experience or publications in ML/AI

Experience with financial technology or financial document processing

Familiarity with AI agents and planning systems

Track record of open-source contributions to ML/AI projects

Experience with cloud platforms (AWS, GCP, Azure) and containerization

Knowledge of financial operations workflows and challenges

Tools You’ll Work With

Core Stack: Python, TypeScript

Infrastructure: Kubernetes, Docker

Cloud Platforms: AWS

ML Tools: Weights & Biases, MLflow

Vector Database E.g. Pinecone, Weaviate

Monitoring: E.g. Prometheus, Grafana

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