Senior Software Engineer, AI Pipelines & LLM

Patterndata; Richmond (VA); On-site; USD 160,000 - 220,000; Full time

Job summary

Pattern Data is seeking a Software Engineer to help build AI-powered data pipelines and bring AI-driven insights into legal workflows. You will design and operate LLM-backed processes for document extraction, classification, and validation while ensuring accuracy through robust evaluation and testing.

You will also own production reliability aspects, including prompt versioning, output validation, latency management, and cost controls, partnering with litigation teams to maximize AI impact.

Qualifications

• Bachelor's degree in Computer Science or related technical discipline, or equivalent practical experience.
• 6+ years of software engineering experience with strong fundamentals.
• Hands-on production experience with LLM APIs—prompting, structured outputs, retrieval, and tool use.

Responsibilities

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

Skills

LLM APIs

Software engineering

Communication

Education

BS in CS

Tools

Scala

TypeScript

PostgreSQL

GraphQL

Elasticsearch

AWS

Job description

Pattern Data is seeking a Software Engineer to help build AI-powered data pipelines and bring AI-driven insights into legal workflows. You will design and operate LLM-backed processes for document extraction, classification, and validation while ensuring accuracy through robust evaluation and testing.

You will also own production reliability aspects, including prompt versioning, output validation, latency management, and cost controls, partnering with litigation teams to maximize AI impact.