Applied AI Engineer

Rillet • San Francisco, CA

22h • Hybrid

About The Position

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 Neuralink, Kickstarter, and Windsurf. 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.

Requirements

• 3+ years in a technical role with a strong foundation in backend systems, APIs, and cloud infrastructure
• 2+ years shipping production AI systems with real users and real stakes, not research or prototypes
• Hands-on experience with production LLM applications: 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
• Drawn to hard, ambiguous problems and energized by building in an environment where the playbook is still being written

Nice To Haves

• Background in fintech, ERP, or accounting software
• Experience with fine-tuning or training models, not just inference
• Familiarity with Python, Kotlin, Java, or TypeScript
• Experience building AI systems that operate on structured financial or transactional data

Responsibilities

• Own AI features end-to-end: from designing agentic workflows and RAG pipelines 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.

Benefits

• Strong salaries plus equity
• Top-tier health and dental insurance, premiums partially or fully covered for you
• 90% coverage for dependents
• Flexible PTO
• 9 company-wide holidays

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed