Applied AI Engineer

What We Do

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, 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.

Who We Are

Rillet’s pace is not for everyone. Intelligence is table stakes. To succeed here, you need extreme speed, agency, and flexibility.

Successful Rilleteers do not wait for assignments. They internalize a mission, design a strategy, and bring back results that are better, faster, and more creative than a manager could have asked for.

Work revolves around our customers. Successful Rilleteers are energized by delivering the most important things, even those that weren’t in the original plan.

In this role, you do not need to be an accountant. But you do need to appreciate the value that our customers can create for their own company when we equip them with the perfect financial tools. Successful Rilleteers love powering the financial core of the world’s fastest-growing companies.

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 within commutable distance of our NYC or San Francisco offices (or willing to relocate). Team members work in-office Tuesdays and Thursdays, plus one additional flexible day. Certain roles may require additional in-office time based on function.

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 — Medical and dental coverage, including up to 100% of employee premiums and 90% of dependent premiums, plus 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 and select remote roles. We keep our offices stocked with snacks, regularly provide lunch and dinner, and make time to connect as a team.

Compensation (from employer):
$170K – $250K • Offers Equity