Software Engineer - AI Platform (Senior-Staff)

Pattern Data•Richmond, VA

10h

About The Position

Pattern Data is an AI-powered platform built for the complexities of mass tort litigation. We help leading law firms automate case analysis, accelerate settlement decisions, and manage high-volume inventories that were traditionally manual and time-intensive. The problems we work on are complex and high-stakes, requiring precision, adaptability, and a deep understanding of both data and client needs. We’re a collaborative, high-ownership team that moves quickly and takes pride in solving hard problems well. People at Pattern go deep to understand the “why,” build solutions that hold up, and stay focused on what drives real outcomes for our customers. We value transparency, thoughtful problem-solving, and authenticity in how we work together and we’re looking for someone who’s excited to contribute to a team that’s actively building and improving every day. As a Software Engineer at Pattern Data, you will be involved throughout the product lifecycle - from idea generation, design, and prototyping to execution and shipping. The AI pod builds the systems that turn medical records and claim files into structured, reliable data. This role is focused on the engineering around our AI capabilities: the pipelines, evaluation, and review workflows that make the output something a law firm can act on.

Requirements

Bachelor's degree in Computer Science or a related technical discipline, or related practical experience
6+ years of experience in software engineering with strong fundamentals
Hands-on production experience with LLM APIs - prompting, structured outputs, retrieval, and tool use
A real point of view on evaluation: how you know the system is working, and how you know when it stops
Comfort with messy real-world data - OCR'd PDFs, scanned faxes, and forms filled out by hand
Curiosity and enthusiasm for tackling tough problems and delivering effective solutions
Great communication skills, and the ability to work seamlessly with technical and non-technical stakeholders

Responsibilities

Build and operate LLM-backed pipelines for document extraction, classification, and validation
Measure and improve accuracy through evaluation datasets, regression suites, and metrics the business can act on
Build the review workflows where our team confirms and corrects AI output
Own the production details that determine reliability: prompt versioning, structured output validation, cost and latency management, retries, and fallbacks
Work with our litigation management team to identify where AI adds the most value