Staff Engineer

Axle Labs•New York, NY

3d•$215,000 - $270,000•Onsite

About The Position

Axle is building the first universal API for insurance, unlocking access to a core financial data primitive that impacts almost every industry and transaction. Our mission is to completely transform the communication layer for insurance. As a Staff Engineer, you’ll be directly involved in guiding our core platform that pairs complex data structuring (using LLM inference) with durable data acquisition pipelines (using agentic workflows). The work you do will impact every customer we work with, across foundational use cases such as asset lending and business contracting. We’re looking for individuals who think creatively about problems, push for real-world customer impact (not only theory), keep up to date on the latest in AI research, and are excited about helping financial data reach full connectivity. Our team is based in-person in New York City (Flatiron/NoMad).

Requirements

6+ years of experience (or equivalent) building complex systems in high-scale environments.
A perspective when approaching common system patterns (e.g., state machines, event brokers, etc.) as well as API design and maintenance.
A desire to define ways to increase observability, simplicity, and velocity across our engineering processes.
Experience deploying AI/ML systems into production environments.
Ability to take abstract projects end-to-end, operating with high agency.
You've been at high-growth startups and know what "high velocity” looks like.

Nice To Haves

Experience in fintech or data aggregation is a plus.

Responsibilities

Build, and maintain, durable, scalable systems capable of processing millions of complex transactions per month.
Define the interfaces (API-driven) to enable turn-key usage of our data platform across varied applications.
Design novel AI-led techniques for increasing the accuracy and reliability of our data integrations.
Have complete ownership over the work you do — as an early team member, you’ll have the opportunity to truly own large areas of product and engineering and have direct relationship with customers.
Work directly with the CTO and other founding members to help build out our team.