Join Rillet as an Applied AI Engineer to design and ship AI systems that transform finance and accounting operations.
Posted by employer 6 months ago
First seen on Joblaze 1 month ago
Last verified on the company career page 1 day ago
AI in the day-to-day
You'll design and ship production AI systems that transform how finance and accounting teams operate.
Requirements
- Experience
- 3+ years
Not disclosed in this posting: visa sponsorship.
Benefits
Joblaze summary
In the role of Applied AI Engineer at Rillet, the individual will focus on designing and deploying AI systems that enhance the efficiency of finance and accounting teams. Key skills include a strong background in machine learning, proficiency in Python, and experience with production AI systems, particularly in handling structured financial data. This position is ideal for someone with at least three years of technical experience who thrives in fast-paced environments and enjoys tackling complex problems. Rillet's culture emphasizes ownership and creativity, making it a fitting place for innovative thinkers.
Joblaze insights
- Listed about a month ago — first seen on Joblaze September 3, 2026. Last confirmed on Rillet's careers page October 31, 2026.
- Salary band is below the typical range for AI/ML roles (median ~$190,000).
- Starts above 60% of 95 comparable mid ai/ml roles in United States that list AI/ML we track (median $150,000 across 39 companies). See AI/ML salary trends
- AI/ML appears in 52% of 477 comparable mid ai/ml roles in United States; LLMs appears in 1.7% of 477 comparable mid ai/ml roles in United States.
Quick facts
- Is the Applied AI Engineer role remote?
- It's hybrid — Rillet expects some on-site time in San Francisco.
- What's the salary range?
- Rillet lists $160,000–$270,000 for this role.
- How much experience is required?
- At least 3 years of relevant experience for this Applied AI Engineer role.
- Where is the role based?
- Rillet is hiring for this position in San Francisco.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AI/ML, LLMs, Python.
- What seniority level is this role?
- Rillet targets mid-level candidates for this position.
- Is this full-time or contract?
- Full-time for this Applied AI Engineer role at Rillet.
From the original posting
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.
Life at Rillet
Grow with us. Take meaningful ownership, expand your scope, and make an impact as Rillet scales.
Standard company text repeated across Rillet's postings is omitted here.