Software Engineer

Who We Are

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.

What You’ll Do

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. You will:

• 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

Our core stack of technologies:

• Scala, TypeScript, PostgreSQL, GraphQL, Elasticsearch, AWS

What You’ll Bring

• 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