Applied AI Engineer

Rillet • San Francisco, CA

1d • Hybrid

About The Position

Rillet serves accounting and finance teams. Our customers are the financial brains of their companies. Our job is to help them run the numbers with impossible speed, accuracy, and insight.
Rillet is an AI-native ERP that can drive a zero-day close. We are different because of our unified source-of-truth data model, hundreds of best-in-class native integrations (Stripe, Ramp, Salesforce, etc), automated & auditable workflows, multi-entity consolidation, and quickly expanding army of specialized AI agents (e.g., accrual, audit, P&L flux, board decks, etc). These earn us a consistently perfect customer satisfaction score. High-growth AI customers like Mercor, Windsurf, and Function Health love our ship velocity, because their financial stack needs to scale as quickly as they do.
This huge market is ours to take. We have raised $100M from leading investors (including Sequoia, a16z, Iconiq, Oak HC/FT, and First Round) to help everyone run their numbers at the speed of AI.
As an Applied AI Engineer on Rillet's AI & ML Team, you will design and ship production AI systems that transform how finance and accounting teams operate. This team sits at the intersection of LLMs, ERP workflows, and financial data, building the intelligence layer that makes Rillet fundamentally different from legacy ERP. You will own high-impact features end-to-end, from model integration to infrastructure, and your work will be used daily by finance teams at companies like Neuralink, Kickstarter, and Windsurf.
We're looking for teammates who value in-person collaboration and are within commutable distance of our NYC or San Francisco offices (or willing to relocate). Team members are required to work in-office Tuesdays and Thursdays, plus one additional flexible in-office day. Certain roles may require additional in-office time based on function.

Requirements

• 3+ years of experience in a technical role with a strong foundation in backend systems, APIs, and cloud infrastructure
• 2-3+ years shipping production AI systems, not research or prototypes, with real users and real stakes
• Hands-on experience with production LLM applications, such as RAG pipelines, agentic systems, or structured extraction
• Proficiency in Python and comfort working across the full stack to deliver end-to-end features
• Strong product instincts and a habit of thinking about user impact, not just technical correctness

Responsibilities

• Build and ship production AI features across Rillet's ERP platform, including AI agents, structured data extraction, and intelligent automation for accounting workflows
• Design and maintain the infrastructure powering LLM inference, fine-tuning pipelines, and RAG systems at scale
• Partner with product and engineering teams to translate complex finance and accounting workflows into AI-driven solutions
• Develop internal tooling and evaluation frameworks that improve the speed, accuracy, and reliability of Rillet's AI systems
• Drive continuous improvement of model performance through prompt engineering, fine-tuning, and systematic experimentation

Benefits

• Competitive Pay & Benefits: Backed by world-class investors, we offer strong salaries plus equity so you share in our success. We've got you covered with top-tier health and dental insurance, premiums partially or fully covered for you, plus 90% coverage for dependents.
• Room to Grow: We're building a team of ambitious, high-performing people who will grow with the company. As Rillet scales, so will your role, responsibilities, and compensation.
• Flexibility That Works: Take the time you need with flexible PTO and 9 company-wide holidays. We value both the flexibility of remote and hybrid work and the creativity and energy that comes from in-person collaboration at our hubs in San Francisco, NYC, and Barcelona.
• Build Real Connections: Great work happens when people connect. Join us for team offsites in incredible locations, our team has bonded everywhere from New York and San Francisco to Toronto, Italy, France, and beyond.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Education Level: No Education Listed