Applied AI Engineer

Remote: yes Posted: 2026-04-27

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 Agentic ERP built for modern finance teams. We help companies automate the most critical parts of finance, from closing the books and recognizing revenue to consolidating entities and reporting to investors. More than 600 companies run on Rillet, including Mercor, Scribe, and Function Health, and we partner with leading accounting firms including EY and KPMG.

We’re building in one of the largest software markets in the world, with the momentum to match. Rillet has raised more than $200M, is valued at $1B, and is backed by Sequoia, a16z, ICONIQ, Bain Capital Ventures, Oak HC/FT, and other leading investors. We’re using that backing to build the financial infrastructure for the next generation of companies and help every business run its numbers at the speed of AI.

- 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

- 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 http://rillet.com email address. If you’re contacted from another domain, please disregard the message and report it as spam.