Applied AI Engineer

About the role

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.

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.

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.

Qualifications

• 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.

Skills

• Strong foundation in backend systems, APIs, and cloud infrastructure.
• Experience shipping production AI systems with real users and real stakes.
• Hands-on experience with production LLM applications.
• Proficiency in Python and comfort working across the full stack.
• Product instincts and a habit of thinking about user impact.
• Ability to handle hard, ambiguous problems.

Benefits

• Competitive Pay & Benefits: Backed by world-class investors, we offer strong salaries plus equity so you share in our success. We've got you covered with top-tier health and dental insurance, premiums partially or fully covered for you, plus 90% coverage for dependents.
• Flexibility That Works: Take the time you need with flexible PTO and 9 company-wide holidays. We value both the flexibility of remote and hybrid work and the creativity and energy that comes from in-person collaboration at our hubs in San Francisco, NYC, and Barcelona.
• Build Real Connections: Great work happens when people connect. Join us for team offsites in incredible locations, our team has bonded everywhere from New York and San Francisco to Toronto, Italy, France, and beyond.

Pay

Competitive Pay & Benefits: Backed by world-class investors, we offer strong salaries plus equity so you share in our success. We've got you covered with top-tier health and dental insurance, premiums partially or fully covered for you, plus 90% coverage for dependents.

Schedule

Flexible schedule with in-office Tuesdays and Thursdays, plus one additional flexible day.