Applied AI Engineer
About this role
What We Do
Rillet serves accounting and finance teams—the financial brains of their companies. Our job is to help them run the numbers with impossible speed, accuracy, and insight.
Rillet is the AI-native ERP that middle-market and enterprise companies trust for revenue recognition, multi-entity consolidation, and investor reporting. To enable real-time finance and a continuous close, Rillet rebuilt the general ledger from the ground up for the AI era. Rillet serves companies from Series A through the public markets, including Mercor, Scribe, and Function Health, and is a certified partner of top accounting firms like EY and KPMG.
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.
Who We Are
Rillet’s pace is not for everyone. Intelligence is table stakes. To succeed here, you need extreme speed, agency, and flexibility.
The people who thrive at Rillet do not wait for assignments. They internalize the mission, design a strategy, and bring back results that are better, faster, and more creative than a manager could have asked for.
Our work revolves around our customers. The people who succeed here are energized by delivering what matters most, even when it was not part of the original plan.
Rillet is built on deep accounting expertise, and it takes people from many disciplines to build a category-defining company. You do not need to be an accountant to thrive here. You do need to care deeply about the problems we solve and the impact our customers can create. Together, we combine the precision of accounting with the speed, creativity, and ambition of AI-native software to power the financial core of the world’s fastest-growing companies while redefining what finance teams should expect from their software.
Who We Need
As an Applied AI Engineer on Rillet's AI & ML team, you'll 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'll 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 Juicebox, Scribe, and Sotheby’s.
We're an AI-native company, and we expect our engineers to bring that same mindset to how they work. If you're energized by pushing the boundaries of what AI can do in a real product context, you'll fit right in.
We’re looking for teammates who are based near our New York City or San Francisco offices, or open to relocating. Our hybrid schedule brings the team together in person on Tuesdays and Thursdays, plus one additional flexible day each week. Some roles may spend more time in the office depending on the needs of the team.
What You'll Do
Own AI features end-to-end: from designing agentic systems to the infrastructure that runs them in production at scale.
Work on genuinely hard problems: financial data is structured, high-stakes, and unforgiving, making it one of the more interesting domains to apply LLMs to.
Build the evaluation frameworks and experimentation loops that turn good models into reliable, production-grade systems.
Partner directly with product and domain experts to push the frontier of what AI can do inside an ERP, not just what's been done before.
Who We're Looking For
3+ years in a technical role with a strong foundation in Machine Learning and data analysis or backend systems
2+ years shipping production AI systems with real users and real stakes
Hands-on experience with production LLM applications: agentic systems and offline/online evals to make them reliable
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
Drawn to hard, ambiguous problems and energized by building in an environment where the playbook is still being written
Bonus Points
Background in fintech, ERP, or accounting software
Familiarity with Python, Kotlin or TypeScript
Experience building AI systems that operate on structured financial or transactional data
Life at Rillet
Grow with us. Take meaningful ownership, expand your scope, and make an impact as Rillet scales.
Competitive pay and meaningful equity. Be rewarded for the value you help create.
Benefits that support you. We offer medical and dental coverage, including up to 100% of employee premiums and 90% of dependent premiums, along with a 401(k), flexible PTO, nine company-wide holidays, and paid parental leave for eligible employees.
Better together. We’re hybrid-first, with teams centered in New York City and San Francisco, as well as select remote roles. Our offices are stocked with snacks, we regularly provide lunch and dinner, and we make time to connect as a team.