Software Engineer - AI Platform (Senior-Staff)
Pattern Data
$160,000 - $220,000 / year
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Description
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
- Great communication skills, and the ability to work seamlessly with technical and non-technical stakeholders
Ready to meet us?
Please apply directly through our website or Linkedin. We are excited to hear from you!
Pay Transparency Disclosure
The estimated base salary range for this role is $160,000-$220,000 per year, plus bonus and benefits.
At Pattern Data, our compensation philosophy is built around fairness, transparency, and market alignment. Base salary represents just one part of our total compensation package, which also includes performance-based incentives, comprehensive benefits, and other rewards.
Final compensation will be determined based on several factors, including skills, experience, qualifications, geographical location and internal equity across the team.
We understand that exceptional candidates bring unique backgrounds and strengths. If the scope of the role changes during the hiring process, we’ll update and communicate any adjusted range accordingly.
Pattern Data is committed to pay equity and to maintaining competitive, transparent compensation practices across all roles and teams.
Benefits
- stock options
About this role
Pattern Data is building AI systems that transform how law firms handle mass tort litigation, and this role sits at the heart of that mission. You'd own the engineering around LLM-backed pipelines—everything from document extraction and classification through to the review workflows that turn AI output into something lawyers can actually rely on. The work spans the full stack: prompt optimization, structured output validation, evaluation metrics, cost and latency management, and the production reliability details that separate systems that work from systems that fail at scale.
This is a senior-to-staff level position that demands both depth and breadth. You'll need solid fundamentals across the core stack (Scala, TypeScript, PostgreSQL, GraphQL, Elasticsearch, AWS), hands-on experience shipping with LLM APIs, and a clear-eyed perspective on how to measure whether an AI system is performing. Equally important is comfort with messy real-world data—OCR'd PDFs, handwritten forms, the kind of input that doesn't fit neat assumptions. You should be someone who thinks deeply about the "why" behind technical decisions and can communicate across both technical and non-technical teams.
The role is full-time, in-office in Richmond, Virginia, with a base salary of $160,000–$220,000 plus bonus and benefits. It's built for someone who wants to solve genuinely hard problems in a collaborative, high-ownership environment where shipping reliable solutions matters.
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Pay for this role
$160,000 to $220,000 per year
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