# Member of the Technical Staff — AI/ML at Stuut

- Company: Stuut
- What the company does: Stuut automates your entire order-to-cash process. Collect 40% more revenue with AI agents that actually do the work. Live and collecting cash in days. Backed by a16z.
- Company website: https://www.stuut.ai
- Type: Startups (AI role)
- Level: Senior
- Location: San Francisco
- Work setup: On-site
- Pay: $220K to $350K base salary per year (USD)
- Posted: 2026-08-10
- Apply by: 2026-10-08
- Apply: https://jobs.ashbyhq.com/stuut-ai/37cc28af-0ce7-4ddb-a099-6fb88b0b593f
- Page: https://www.1752.vc/careers/jobs/stuut-member-of-the-technical-staff-ai-ml/

## About 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.

## What they're looking for

- 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

Tags: Engineering