Member of the Technical Staff - Applied AI, Fullstack
- Location
- San Francisco, CA (Remote) · On-site
- Job type
- Full-time
- Level
- Mid-level
- Listed
- 23 days ago
Skills & highlights for this role
- AI agent development
- Pydantic AI
- tool-using agents
- evals and tracing
Also useful
- workflow systems
- distributed systems
- ERP integration
Stated benefits & perks
- Medical
- Dental
- Vision
- 401k match
- Flexible pto
The Role
At Stuut, you'll build AI agents that do real order-to-cash work: collecting overdue invoices, responding to customer emails about invoices and payments, applying cash, and resolving disputes and deductions. You'll build the agents, their harnesses, and the product that makes them reliable in production.
Every customer has different processes, policies, and rules. Our agents adapt to how customers work, not the other way around. They need to use tools, manage long-running tasks, recover from failures, check their own work, and know when to involve a person.
Agent experience is a plus, not a requirement. If you've built reliable workflow or distributed systems, you already understand many of the hard problems: state, retries, and human handoffs. You can learn Pydantic AI and order-to-cash on the job.
What You'll Do
- Build agents that take receivables work from start to finish: applying payments, chasing overdue invoices and resolving deductions.
- Build the agent harness: the tools, structured outputs, guardrails and human approvals that decide when an agent acts, waits or escalates.
- Make every agent action traceable, and every write to a customer's ERP safe to retry and easy to review.
- Build the product, from APIs and data models to the UI, where finance teams set rules, review decisions and steer agents.
- Write evals against real customer outcomes, and turn each failure into a fix in the harness.
- Work with customers to learn how AR teams actually work, and turn their edge cases into better agents.
You Might Be a Fit If You
- Have built an agent that calls tools and takes real actions, at work or on your own.
- Ask "how would we know if this is wrong?" before you ship, and answer it with evals and traces.
- Have handled long-running agent work: state, retries, and runs that pause for a person and resume.
- Want to work where a wrong action costs a customer real money, and design for that.
- Like learning a new domain from the people who do the work. No finance background required.
Big Plus
- Pydantic AI: Understand the framework and its approach to building agents, managing dependencies, using tools, and producing structured outputs.
- Product judgment: Can understand a customer's problem, identify what actually matters, and turn complex business workflows into simple, useful product capabilities.
- Customer-driven engineering. You like getting close to real workflows, finding the problems that matter, and turning them into simple, useful products.
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
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.
Equal opportunity and legal notices
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.
From Stuut's careers page, first listed on Rolev.ai on October 17, 2026. Rolev.ai is not the employer.
How Rolev.ai helps with this application
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Common questions
Where is the Member of the Technical Staff - Applied AI, Fullstack job at Stuut located?
Yes, this Member of the Technical Staff - Applied AI, Fullstack opening at Stuut is listed as San Francisco, CA (Remote) (On-site). Always check Stuut's application page for specific state eligibility or relocation policies.
What qualifications are required for Member of the Technical Staff - Applied AI, Fullstack at Stuut?
For the Member of the Technical Staff - Applied AI, Fullstack role, Stuut highlights experience with AI agent development, Pydantic AI, tool-using agents, evals and tracing. Rolev.ai can score your existing resume against these requirements and show any skill gaps before you apply.
How do I apply for the Member of the Technical Staff - Applied AI, Fullstack position at Stuut?
This listing links directly to Stuut's Ashby application page. You can apply directly on Stuut's site, or use Rolev.ai to check your resume fit, generate a zero-hallucination tailored resume and cover letter for this posting, and autofill the Ashby application form in 1 click with the Rolev.ai Chrome extension. You always review the form and press Submit yourself.