Stuut
Tech / AI / Software
MemberoftheTechnicalStaff—AI/ML
“Member of the Technical Staff — AI/ML at Stuut. Skills: AI/ML, LLMs, RAG systems, Python, PyTorch, TensorFlow, Transformers, MLOps. design, build, and deploy AI-powered systems. translate state-of-the-art AI research into production-grade features”
Industry & Context.
solve real-world financial operations challenges; AI-powered systems that solve real-world financial operations challenges
What They're Looking For.
Must Have
5+ years of software engineering experience, at least 2 years focused on applied AI/ML in production environments, integrated and fine-tuned LLMs for real-world applications, built retrieval-augmented generation (RAG) systems for document-intensive workflows, Understand MLOps best practices, from model deployment pipelines to monitoring and A testing, fluent in Python, experienced with PyTorch, TensorFlow, and Transformers, shipped AI products that solved real business problems — not just prototypes, experience with data preprocessing and feature engineering for AI, Can translate business requirements into clear, impactful technical solutions, experience integrating AI systems into existing enterprise platforms
Nice to Have
Kubernetes a plus
What You'll Do.
and deploy AI-powered systems
translate state-of-the-art AI research into production-grade features
reliable AI applications
Build & Deploy: Create production-ready AI applications
Optimize AI Features: Implement and refine capabilities like invoice matching
payment reconciliation
and financial document processing
Adapt & Fine-Tune Models: Apply and optimize LLMs
and other AI architectures for specific financial use cases
Engineer for Scale: Develop robust AI pipelines from data ingestion through inference
Automate Workflows: Design AI-powered automations that reduce manual effort in finance operations
Measure Impact: Create evaluation frameworks to track AI system performance and quantify business outcomes
How You'll Work.
Team & Collaboration
Collaborate Cross-Functionally: Partner with Product, Engineering, and customers to translate business needs into effective AI solutions
Applying for this Member of the Technical Staff — AI/ML role?
Most applicants get filtered before a human reads their resume. See if yours makes the cut.
How to Apply on Ashby
- Ashby is a fast modern ATS — most applications take under 3 minutes.
- The resume parser is strong; verify parsed experience dates and job titles.
- Custom screening questions are often scored algorithmically — answer completely.
- Location field affects geo-based screening; use your actual metro area.
ANONYMOUS · UNFILTERED
What do employees actually say about Stuut?
Real rants from real employees. Read before you apply.