Applied AI Engineer ($150k-$240k + Equity) at well-funded AI-native fintech platform

This role is with a well-funded AI-native fintech platform.

About the role

As an Applied AI Engineer, you will build and scale production-grade agentic systems that transform financial workflows. Working at the intersection of LLMs and structured financial data, you will own the full lifecycle from system design to production infrastructure. You will develop critical evaluation frameworks to ensure reliability in high-stakes environments.

Location: San Francisco & New York City, USA

Why this role is remarkable

• Work on mission-critical AI systems where precision and reliability are paramount in a high-stakes financial domain.
• Join a well-funded Series B startup backed by top-tier VCs, scaling rapidly with a proven product-market fit.
• Collaborate directly with world-class engineering leadership to push the boundaries of agentic AI in a fast-paced environment.

Responsibilities

• Design and deploy end-to-end agentic systems and the underlying infrastructure required to run them at scale.
• Build robust evaluation frameworks and experimentation loops to turn experimental models into production-grade financial tools.
• Partner with product and domain experts to integrate LLMs into complex workflows and structured transactional data environments.

Requirements

• 3+ years of technical experience in ML or backend systems, with at least 2 years shipping production AI.
• Deep expertise in LLM applications, agentic systems, and building the infrastructure to make them reliable.
• Strong product instincts and the ability to thrive in fast-paced, ambiguous environments where the playbook is evolving.

Pay

$150k–$240k + Equity