LLM-Driven Document Processing Engineer

ZP Group; United States; Remote; USD 146,000 - 158,000; Full time

Benefits offered by this job

Benefits: PTO, Paid Holidays, Medical,

Job summary

Zachary Piper is seeking an experienced AI/ML Document Processing Developer to design, build, and enhance document ingestion and processing solutions that leverage Artificial Intelligence, Machine Learning, and Large Language Models (LLMs). This role will focus on transforming unstructured documents into structured, actionable data that supports business processes and validation workflows.

This role focuses on designing AI-powered pipelines for unstructured data, processing healthcare-related

Qualifications

• 5+ years of experience developing RESTful services and event-driven backend applications in AWS.
• Hands-on experience with AWS Bedrock or comparable LLM platforms, including: Prompt engineering, Structured outputs, Model selection, Token and cost optimization.
• Strong AWS experience in production environments, including: S3, Lambda, ECS/Fargate or AWS Batch, ECR, IAM, KMS, CloudWatch.
• Strong Python development experience, including concurrent processing for high-volume workloads.
• Experience with document and text processing technologies, including OCR solutions.
• Experience with relational and NoSQL databases such as PostgreSQL and DynamoDB.
• Experience with Redis or similar caching technologies.
• Experience building and deploying containerized applications using Docker.
• Experience with CI/CD tools such as GitHub Actions, Jenkins, or Git.
• Experience with automated testing frameworks such as pytest.
• Experience working in Agile environments utilizing JIRA.
• Strong communication and collaboration skills.

Responsibilities

• Design and develop AI-powered document processing pipelines for unstructured data.
• Process healthcare-related documents across multiple formats, including PDFs, DOCX, emails, and scanned documents.
• Extract, validate, and transform critical business data from unstructured content.
• Build and maintain RESTful APIs and event-driven backend services in AWS.
• Develop scalable, high-throughput data processing solutions using Python.
• Implement OCR and document extraction capabilities using AWS Textract, Tesseract, or similar tools.
• Integrate structured output into downstream applications, databases, and reporting environments.
• Participate in Agile development processes and collaborate with technical and business stakeholders.
• Troubleshoot production issues, implement enhancements, and support platform improvements.
• Ensure security, scalability, and operational excellence across cloud-based solutions.

Tools

AWS

AWS Bedrock

S3

Lambda

ECS/Fargate

AWS Batch

ECR

IAM

KMS

CloudWatch

Python

OCR

AWS Textract

Tesseract

PostgreSQL

DynamoDB

Redis

Docker

GitHub Actions

Jenkins

Git

pytest

JIRA

Terraform

CloudFormation

AWS CDK

IaC

Terraform

Job description

Zachary Piper is seeking an experienced AI/ML Document Processing Developer to design, build, and enhance document ingestion and processing solutions that leverage Artificial Intelligence, Machine Learning, and Large Language Models (LLMs). This role will focus on transforming unstructured documents into structured, actionable data that supports business processes and validation workflows.

This role focuses on designing AI-powered pipelines for unstructured data, processing healthcare-related