Senior AI Engineer

Founded in 2024, DualEntry is one of the world’s fastest-growing AI startups.

At DualEntry, the future of finance is being written today. ERP is one of the largest fintech markets in the world ($220,000,000,000+). Yet, tens of thousands of companies are still using on-premise systems, and the industry has not seen new entrants in more than 30 years.

Our AI-native ERP lets accounting teams achieve more in less time. $5M-ARR businesses to NYSE-listed companies trust DualEntry to automate away manual data entry work with AI. We’re finally making the one-person finance team a reality and putting the pain of legacy ERPs from the 1990’s in the past.

We operate with urgency and ownership. We move fast.

Since starting 18 months ago, we’ve raised $100,000,0000+ from world-class investors such as Lightspeed Venture Partners, Khosla Ventures, Contrary Ventures and Google Ventures, as well as more than 20 angel investors who’ve built, scaled, and exited some of the most impactful companies of the last decade.

We got there by moving incredibly fast and hiring an exceptionally sharp, hard-working and deeply committed team from leading tech and accounting companies - Ramp, Meta, Microsoft, Lyft, PwC, Deloitte, J.P. Morgan, Bloomberg, Sage, Xero and Intuit. And some of us don't have a fancy logo on our resume and are here for a shot to prove ourselves.

We’re a small team, growing fast with huge momentum - join early.

As our Applied AI Engineer, 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 fundamentally different from legacy ERP. You'll own high-impact features end-to-end, from model integration to infrastructure.

This is an intense, hands-on role with full ownership. We expect you to push for excellence and raise the bar.

📍 Location: New York City HQ (EST)

• 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.

• Hardcore work ethic and high agency

• 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
  Bonus Points

• 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