Stuut
Member of the Technical Staff — AI/ML
San Francisco · Staff+ · Full-time
Sponsorship not specifiedDetected 3 days ago
PythonMachine LearningPyTorchscikit-learnNLPLLMsRAGAgentic AIMLOpsA/B TestingForecastingAR/VRResearchAccounts Payable
About the role
- This is a hands-on role for an engineer who thrives at the intersection of AI innovation and practical business application - turning cutting-edge models into real-world value for mid-market CFOs
Responsibilities
- Create production-ready AI applications and agentic systems that address customer financial workflow challenges
- Build tool-using LLM agents that surface insights, recommend next steps, and execute approved tasks - not just chatbots
- Refine capabilities like invoice matching, payment reconciliation, and financial document processing
- Apply and optimize LLMs and RAG systems for financial use cases, including fine-tuning on proprietary data where it moves the needle
- Build robust AI pipelines from ingestion to inference - reliable, maintainable, and cost-efficient through smart model routing
- Have integrated and fine-tuned LLMs, and built RAG systems for document- or data-intensive workflows
Nice to have
- experience with model routing across providers
- Are plugged into the AI/ML community and energized by bringing AI to real-world use cases
Compensation
- Top-of-market salary and equity package
Benefits
- Benefits (for U.S.-based full-time employees)
- Medical, dental & vision insurance coverage for you
- Parental Leave
Company info
- Partner with Product, Engineering, Data, and customers to translate business needs into AI solutions
This listing is sourced directly from Stuut's careers page and normalized into a canonical job model.