Applied AI Engineer
Rillet
San Francisco, CA · $160k–$350k a year · Posted April 27, 2026
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More in California job market · Applied AI Engineer jobs in San Francisco, CA (28) · All Applied AI Engineer jobs (110) · Financial Services & Banking · Data & Analytics jobs
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Where San Francisco, CA ranks
Where San Francisco, CA placed in our monthly rankings, month by month. Each month stays online at its own address.
November 2026
- #1Best cities for security jobs316 openings · of 20
- #1Best cities for technology jobs7,178 openings · of 100
- #1Best cities for financial services pay after cost of living$173k · of 33
- #1Best cities for entry-level jobs that want AI skills35% · of 100
- #1Best cities for entry-level jobs that want AI skills in the West Coast35% · of 54
- #1Cities with the most jobs that do not need a four-year degree in the West Coast902 jobs · of 47
Rankings about data & analytics jobs
- Best cities for data and analytics jobs #1 New York (1,713 openings)
- Best cities for data and analytics pay after cost of living #1 Foster ($232k)
- Most requested AI skills in data and analytics jobs #1 Machine learning engineering (17.1%)
- AI tools named most often in data and analytics jobs #1 Databricks (7.6%)
- Employers with the most data and analytics jobs #1 Amazon (711 roles)
Data & Analytics jobs · Top Data & Analytics employers · All rankings
Pay compared with the market
This listing pays about $255,000 a year. Across 36 open applied ai engineer listings that state pay, the middle half runs $178,000 to $226,000 and the median is $207,500. That is 23% above the median, above the middle half of those listings.
Listed pay is what employers advertise, not what people are paid.
How AI is used in this kind of work
Among computer and information research scientists, AI is already used for a large share of the tasks. Measured exposure for computer and information research scientists: 34% (high).
Share of this job’s tasks that AI is already used for at work, from real usage. It is not a forecast of job loss, and a low number means no use seen yet. Source: Anthropic Economic Index.
Skills this job asks for
Say which you have and which you want to build. We use it to match you to jobs like this one.
About the job
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.
WHO WE ARE
Rillet’s pace is not for everyone. Intelligence is table stakes. To succeed here, you need extreme speed, agency, and flexibility.
The people who thrive at Rillet do not wait for assignments. They internalize the mission, design a strategy, and bring back results that are better, faster, and more creative than a manager could have asked for.
Our work revolves around our customers. The people who succeed here are energized by delivering what matters most, even when it was not part of the original plan.
Rillet is built on deep accounting expertise, and it takes people from many disciplines to build a category-defining company. You do not need to be an accountant to thrive here. You do need to care deeply about the problems we solve and the impact our customers can create. Together, we combine the precision of accounting with the speed, creativity, and ambition of AI-native software to power the financial core of the world’s fastest-growing companies while redefining what finance teams should expect from their software.
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 http://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.