3+ years in a technical role focusing on backend systems, APIs, and cloud infrastructure
2-3+ years of experience shipping production-level AI systems
Hands-on expertise with production LLM applications like RAG pipelines
Proficient in Python and capable of full-stack development
Strong understanding of product impact on users, beyond just technical aspects
Responsibilities
Build and ship AI features for Rillet's ERP platform
Design and maintain infrastructure for LLM inference and fine-tuning
Collaborate with product and engineering teams on AI-driven finance solutions
Develop tooling and frameworks to improve AI system performance
Enhance model performance through experimentation and prompt engineering
Benefits
Strong salaries with equity options
Comprehensive health and dental insurance
Flexible PTO and 9 public holidays
Growth opportunities as the company scales
Team bonding events in diverse locations
Full Job Description
Who We Need
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.
What You'll Do
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
Who We're Looking For
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
Life at Rillet:
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.
