New York, New York, United States
Candidates must have extensive experience in the full feature development lifecycle, including working with product managers, defining scope, designing database schemas, considering serving needs, collaborating with designers on UX, implementing interfaces, and maintaining features. A minimum of 7 years of engineering experience is required, with expertise in Python development and strong experience in NodeJS and Typescript. Proficiency in relational database design is essential, and experience with Dagster and/or Airflow is preferred. Experience designing, building, and launching backend architectures is also necessary.
The Staff Software Engineer will serve as a Technical Lead on a Product Engineering team, contributing to a unified claims platform by collaborating with data science and data engineering teams to build a scalable web application. Responsibilities include building and maintaining the backend REST server for machine learning and BI data, owning the entire lifecycle of enterprise application design, development, and launch, and working on greenfield projects with significant ownership. The engineer will collaborate directly with product heads, data scientists, UX designers, and end users, playing a key role in shaping product technology choices and roadmaps. They will provide technical expertise, introduce best practices, drive consistency, and help prioritize features, while continuously learning and focusing on business problems involving large-scale datasets.
AI software for insurance claims handling
EvolutionIQ creates software for the insurance industry that enhances the claims handling process using artificial intelligence. The software helps insurance examiners and adjusters identify the right claims to focus on, improving efficiency and accuracy. By understanding bodily injuries like a medical expert, it quickly assigns complex claims to specialized teams, leading to faster processing and better outcomes for claimants. The goal of EvolutionIQ is to streamline claims handling, ultimately increasing the number of successful returns to work for claimants.