Bachelor's or Master's degree in Computer Science, Engineering, or a related field., Proficiency in machine learning frameworks such as TensorFlow or PyTorch., Strong programming skills in Python and experience with data analysis tools., Experience with cloud platforms like AWS or Azure is a plus..
Key responsibilities:
Design and develop AI models and algorithms to solve complex problems.
Collaborate with cross-functional teams to integrate AI solutions into products.
Conduct research to stay updated on the latest AI technologies and trends.
Prepare and present technical reports and findings to stakeholders.
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Accelerate your cash flow with AI agnets, we're backed by some of the best investors: Khosla, Activant, 1984, Carya, Vesey, and Page One. Also, we are hiring!
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, 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
Stuut is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
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