Applied AI Engineer

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

The expected base salary range for this role is $160,000–$350,000 in New York City and San Francisco. Final compensation within this range will depend on factors including skills, experience, qualifications, and the scope of the role. This role is also eligible for equity and benefits.

Note: All official Rillet recruiting communications will come from an @rillet.com email address. If you're contacted from another domain, please disregard the message and report it as spam.

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 competitive benefits designed to support your health, wellbeing, time away from work, family, and long-term financial goals.

• Better together. We value collaboration, connection, and spending meaningful time together as a team. We regularly create opportunities to connect through team meals, events, and company gatherings.