Senior AI Engineer

DualEntry

$110K — $160K *
Finance & Insurance
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 3+ years in a technical role with backend systems, APIs, and cloud infrastructure
  • 2+ years shipping production AI systems with real user impact
  • Hands-on experience with production LLM applications and RAG pipelines
  • Proficiency in Python and ability to deliver end-to-end features
  • Bonus: Background in fintech or ERP

Responsibilities

  • Own AI features end-to-end from design to production
  • Solve complex problems related to structured financial data
  • Build evaluation frameworks and experimentation loops
  • Collaborate with product and domain experts on AI innovations

Benefits

  • Significant equity ownership in a leading AI company
  • Opportunity to join early and influence product direction
  • High-speed culture fostering rapid deployment
  • 27 PTO days including public holidays
  • Budget for learning and development courses
Full Job Description
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)

Where you'll create impact
  • 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.


What sets you up for success
  • 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
How You Operate
  • Pragmatic: you like to move forward and make decisions based in reality (not theory). We don't debate if Cassandra has the most theoretical scalability - we use Postgres until it breaks
  • Hard working: 'You can work long, hard, or smart, but [here] you can't choose two out of three" - Jeff Bezos. We wrote this job post during the weekend
  • Curious: you love to learn, are highly curious about new frameworks and solutions to engineering problems
  • Fast-moving: you deploy daily, iterate quickly, and never wait for permission


Why you'll thrive here
  • Significant equity ownership in one of the top AI companies in the world
  • You're joining early and will grow with DualEntry
  • Your feedback shapes the product directly
  • High-speed culture
  • High-trust environment with high expectations
  • Ambitious mission - ERP is one of the largest B2B software markets in the world ($220bn per year), this is a once in a lifetime opportunity to build the next generation ERP in an industry that has not seen new entrants in 30+ years
Compensation & Benefits
  • Equity: $35,000 - $50,000 USD
  • Base Salary: $110,000 - $160,000 USD
  • Time Off: 27 PTO days (incl. public holidays)
  • Early-stage role with high autonomy and real long-term upside
  • Enjoy a learning & development budget for courses, certifications, and language learning to keep growing your skills

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