Senior Software Engineer

About this role

About the RoleHelp build data infrastructure and software for an AI-powered legal technology platform. You will work across backend systems and data pipelines that support legal research products and data services. What You'll DoBuild document-processing pipelines that add metadata about relationships between court decisions, including appeals, remands, consolidations, and overruled decisions.

Develop systems to improve the reliability and accuracy of large-scale web scraping.

Optimize and evaluate utilities for citation extraction and resolution, and for determining relationships between courts.

Expose data services through APIs, MCPs, and WebSockets.

Benchmark and evaluate core tasks using human and synthetic data.

What We're Looking ForAt least two years of experience as a technical generalist working across backend systems, ideally in a startup environment.

Strong engineering fundamentals and experience owning technology end to end, including basic to intermediate infrastructure and DevOps.

Proficiency in Python and SQL; experience with data pipelines is valuable.

Hands-on software engineering experience, with sustained ownership of meaningful projects such as greenfield systems or early-stage products.

Experience transitioning from research or academia into practical engineering work.

Interest or experience in statistics, machine learning, or AI, and familiarity with modern AI tools.

Experience in legal technology or working with structured document data is useful, but not required.

Compensation & BenefitsBase salary: $170,000 to $240,000 annually. Visa sponsorship is not available. LocationOn-site in New York, New York, United States.