Software Engineer - AI Platform (Senior-Staff)

Openkrill; United States; Remote; USD 160,000 - 220,000; Full time

Job summary

Pattern Data is an AI-powered platform designed for the complexities of mass tort litigation. We help leading law firms automate case analysis, accelerate settlements, and manage high-volume inventories with precision.

We’re a collaborative team seeking an engineer to build and operate LLM-backed pipelines, improve accuracy, and own production details like prompts, outputs, and latency. You’ll work with litigation teams to maximize AI value and ship reliable systems.

Qualifications

• Bachelor's degree in CS or related field, or equivalent practical experience.
• 6+ years of software engineering experience with strong fundamentals.
• Hands-on production experience with LLM APIs, prompting and structured outputs.
• Experience with evaluating systems and knowing when to iterate.
• Comfort with messy real-world data (OCR’d PDFs, scanned forms).

Responsibilities

• Build and operate LLM-backed pipelines for document extraction, classification, and validation.
• Measure and improve accuracy using evaluation datasets and metrics.
• Create review workflows for AI outputs validation and correction.
• Own production details: prompts, versioning, validation, cost and latency management.
• Collaborate with litigation team to maximize AI value.

Skills

Software engineering fundamentals

LLM APIs experience

Data handling OCR data

Communication with stakeholders

Problem solving

Education

Bachelor's degree in Computer Science or related technical discipline

Tools

Scala

TypeScript

PostgreSQL

GraphQL

Elasticsearch

AWS

Job 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

• 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

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.