Staff Backend Software Engineer, EvenUp

• 8+ years of industry experience designing and building distributed data systems
• Previous experience architecting and scaling event driven architectures
• Strong understanding and practical experience with data pipeline tooling and storage systems such as Post, Dagster, BigQuery, Elasticsearch
• The ability to communicate cross-functionally with various stakeholders to derive requirements and architect scalable solutions
• Have several years of industry experience building high-quality software, shipping production-ready code and infrastructure
• You enjoy owning a project from start to finish and love to drive a project across the finish line
• Interest in making the world a fairer place (we don’t get paid unless we’re helping injured victims and/or their attorneys)

Desirable

• We’re looking to bring on staff software engineers focused on our AI platform services
• This team is responsible for the data ingestion, indexing and search quality of EvenUp case data
• Every month, we process thousands of Personal Injury cases and millions of medical documents and need to extract accurate data for our organization and downstream teams
• We’re building the foundation of a source of truth dataset through which various services will depend on
• We leverage cutting edge AI tools and technology and we’re looking to expand and scale our capacity to identify and surface all critical datapoints within a case
• Build and expand on the foundations of our document extraction pipeline. Leverage LLMs & AI tooling to identify accurate data across files and cases
• Design and develop modularized services to increase the capabilities and scope of data infrastructure and how we surface core data entities for downstream teams
• Collaborate with our DS team to integrate ML models into our production workflows and simplify ML deployment and observability
• Implement event driven, low latency systems to empower our stakeholders with accurate and reliable data
• Analyze and solve key performance bottlenecks, scaling challenges, and high availability issues
• Help grow our engineering team and define a “data first” mentality across our organization