AI/ML Document Processing Engineer

Zachary Piper Solutions; Northern (KY); Hybrid; USD 146,000 - 158,000; Full time

Job summary

Zachary Piper Solutions 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.

Responsibilities include designing AI-powered pipelines, processing healthcare-related documents,

Qualifications

• 5+ years RESTful services and AWS experience.
• Hands-on with AWS Bedrock or similar LLM platforms (prompt engineering, structured outputs, model selection).
• Production AWS experience: S3, Lambda, ECS/Fargate or Batch, ECR, IAM, KMS, CloudWatch.
• Strong Python development, including concurrent processing for high-volume workloads.
• Experience with document processing and OCR technologies.

Responsibilities

• Design and build AI-powered document processing pipelines for unstructured data.
• Process healthcare-related documents across PDFs, DOCX, emails, and scanned files.
• Extract, validate, and transform data from unstructured content.
• Build RESTful APIs and event-driven backends in AWS.
• Develop scalable Python-based data processing solutions.
• Implement OCR and extraction using AWS Textract, Tesseract or equivalent.
• Integrate outputs into downstream apps and databases.
• Collaborate in Agile teams and support platform improvements.

Skills

RESTful services

Event-driven backends

AWS Bedrock

Python

OCR/Document processing

PostgreSQL

DynamoDB

Redis

Docker

CI/CD

JIRA

pytest

Agile/Scrum

Tools

AWS S3

Lambda

ECS/Fargate

ECR

IAM

KMS

CloudWatch

GitHub Actions

Jenkins

Docker

Terraform

CloudFormation

AWS CDK

Job description

Zachary Piper Solutions 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.

Responsibilities include designing AI-powered pipelines, processing healthcare-related documents,