Remote AI/ML Document Processing Engineer

Zachary Piper, LLC; United States; Remote; USD 120,000 - 160,000; Full time

Benefits offered by this job

Healthcare benefits

401K and PTO

Job summary

Zachary Piper, LLC is seeking an AI/ML Document Processing Developer to build and support AI-driven document processing pipelines for a CMS program. This role focuses on extracting structured business data from high-volume unstructured healthcare and insurance documents using AWS and Generative AI technologies.

You will develop and maintain AWS-based backend services and batch-processing pipelines, optimize output quality and cost, and work closely with teams to convert unstructured inputs into

Qualifications

• 5+ years developing RESTful services and event-driven backends in AWS.
• Strong Python development experience.
• Hands-on AWS Bedrock or comparable LLM platform experience.
• Experience with prompt engineering, structured outputs, model selection, and token/cost optimization.
• Production AWS experience with S3, Lambda, ECS/Fargate or AWS Batch, ECR, IAM, KMS, CloudWatch.
• Experience building and supporting document-processing pipelines.
• OCR experience using Textract, Tesseract, or similar technologies.
• Experience processing PDFs, DOCX, email formats, and other unstructured documents.
• Experience with Postgres, DynamoDB, and Redis.
• Docker and CI/CD experience using GitHub Actions, Jenkins, or similar tools.
• Automated testing experience using pytest or equivalent.

Responsibilities

• Build AI-powered document ingestion and classification pipelines.
• Process healthcare provider and health insurance documents across multiple formats.
• Extract key business data from unstructured content.
• Convert document-processing results into structured data for downstream business workflows.
• Develop and maintain AWS-based backend services and batch-processing pipelines.
• Improve output quality, throughput, and cost efficiency of AI processing solutions.

Skills

RESTful services

Event-driven backends

Python development

Prompt engineering

LLM platform experience

Automated testing

CI/CD

Tools

AWS Bedrock

Textract/Tesseract

S3/Lambda/ECS/Fargate

ECR/IAM/KMS/CloudWatch

Postgres/DynamoDB/Redis

Docker

GitHub Actions/Jenkins

pytest

Terraform/CDK/CloudFormation

Job description

Zachary Piper, LLC is seeking an AI/ML Document Processing Developer to build and support AI-driven document processing pipelines for a CMS program. This role focuses on extracting structured business data from high-volume unstructured healthcare and insurance documents using AWS and Generative AI technologies.

You will develop and maintain AWS-based backend services and batch-processing pipelines, optimize output quality and cost, and work closely with teams to convert unstructured inputs into