Product Engineer

Axle•New York City, NY

15h•Hybrid

About The Position

We are looking for talented engineers to join our team as early members. As a Product Engineer, you’ll help build the platform that makes this possible. From applying safe inference to complex financial data to using agents for mission-critical decisioning, you’ll have the chance to wear a lot of hats and shape the future of our platform. We’re looking for individuals who think creatively about problems, push for real-world customer impact, and are excited about helping financial data reach full connectivity. We're powering mission-critical insurance data extraction, validation, and verification at companies where if we get things wrong, there are real world impacts (e.g., denied lending applications, modified compliance statuses, etc.). Here's a few of the complex problems you’ll be working on: Building industry-first evals for insurance data extractors and transformers Integrating context and understanding to standardize high-variability data points Understanding data management and hierarchy across overlapping data ingestors Orchestrating self-healing agents that automatically gets better over time.

Requirements

1+ years of experience (or equivalent) building complex systems in production environments.
Ability to take abstract projects end-to-end, operating with high agency.

Nice To Haves

Experience in fintech or data aggregation high-growth startups is a plus.

Responsibilities

Help build the platform that makes this possible.
Apply safe inference to complex financial data.
Use agents for mission-critical decisioning.
Wear a lot of hats and shape the future of our platform.
Think creatively about problems.
Push for real-world customer impact.
Help financial data reach full connectivity.
Power mission-critical insurance data extraction, validation, and verification.
Build industry-first evals for insurance data extractors and transformers.
Integrate context and understanding to standardize high-variability data points.
Understand data management and hierarchy across overlapping data ingestors.
Orchestrate self-healing agents that automatically get better over time.