Member of the Technical Staff — AI/ML
At a glance
Senior AI Engineering role at Stuut. San Francisco · full-time · $220,000–$350,000 base.
aimlroles summary, based on the employer's posting.
What you'll do
- Build production AI agents that use tools to resolve financial workflow issues, including invoice matching and payment reconciliation
- Apply LLMs and retrieval systems to financial documents, fine-tuning them on company data when useful
- Create dependable AI pipelines from data intake through model output, balancing reliability, upkeep and cost
- Set up evaluation datasets, tracing, code-change regression checks and A/B tests to catch failures before release
- Work with product, engineering, data teams and customers to turn business needs into AI features, then improve them continuously
What you bring
- At least five years working in AI or machine learning
- You have launched agent-based products and can handle tool use, planning, recovery and human review when systems fail
- You have integrated and adapted LLMs, built retrieval systems, and deployed classical ML models for tasks such as scoring or forecasting
- You can build in Python and have shipped AI/ML products that solved business problems
Who this fits
This senior, hands-on role suits an engineer who can take AI work from research into production and translate business needs into technical solutions. The position is onsite in San Francisco.
From the employer
About Stuut
Stuut is the AI coworker that runs order-to-cash for the world’s leading enterprises. Across order management, credit, collections, payments, cash application, disputes and deductions, Stuut does the work end to end and keeps going until the cash hits the bank.
Over 150 companies, spanning the mid-market to the Fortune 50, including Honeywell, ZoomInfo and PerkinElmer, use Stuut to unlock up to 40% more cash flow and cut DSO by 47%. More than $3 billion has moved through the platform to date.
Founded in New York by Tarek Alaruri and Ben Winter, Stuut has raised $93 million from Insight Partners, Andreessen Horowitz, M12, Microsoft’s Venture Fund, and others. Learn more at stuut.ai.
The Role
We’re hiring a Member of Technical Staff – AI/ML to design, build, and deploy AI-powered systems that solve real-world financial operations challenges. You’ll take state-of-the-art AI research and translate it into production-grade features that deliver measurable customer impact. From intelligent invoice matching to automated payment reconciliation, you’ll create scalable, reliable AI applications that integrate seamlessly into our platform.
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
What You’ll Do
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
Stand up golden datasets, agent tracing, regression-on-PR, and A/B testing so we ship confidently and catch silent regressions
Partner with Product, Engineering, Data, and customers to translate business needs into AI solutions
Treat every AI feature as a continuously-improving system — instrument everything, iterate
You Might Be a Fit If You…
Have 5+ years of AI/ML experience
Have shipped agentic products in production and understand the failure modes (tool use, planning, state, recovery, human-in-the-loop)
Have integrated and fine-tuned LLMs, and built RAG systems for document- or data-intensive workflows
Have trained and deployed classical ML models (risk scoring, forecasting, ranking, or similar) — feature engineering, model selection, evaluation, calibration
Have strong opinions on AI/ML evals — golden datasets, offline + online evaluation, statistical significance, evals in CI
Are familiar with LLM observability tooling (LangSmith, Braintrust, Arize, or similar) and treat tracing as table stakes
Understand MLOps fundamentals: deployment, monitoring, A/B testing, model and prompt versioning, feature stores
Are fluent in Python and modern AI/ML tooling (PyTorch, Transformers, scikit-learn, XGBoost, vLLM, LangChain/LlamaIndex, or equivalent)
Have shipped AI/ML products that solved real business problems, not just prototypes
Can translate business requirements into clear technical solutions
Bonus: experience with model routing across providers
Bonus: fintech, B2B SaaS, or AR/AP domain experience
Are plugged into the AI/ML community and energized by bringing AI to real-world use cases
US Compensation
Top-of-market salary and equity package
Benefits (for U.S.-based full-time employees)
Medical, dental & vision insurance coverage for you
401(k) & Match
Equity
Flexible PTO
Parental Leave
Stuut is an equal opportunity employer committed to building a team with diverse backgrounds, perspectives, and experiences. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity or expression, national origin, age, disability, veteran status, genetic information, or any other characteristic protected by applicable law.
We are also committed to providing reasonable accommodations throughout the application and interview process. If you need any accommodations, please do not hesitate to reach out.