Cleared AI/ML Data Document Processing Developer - 173227

Piper Companies; United States; Remote; USD 146,000 - 158,000; Full time

Benefits offered by this job

Health insurance

Paid time off

401(k)

Job summary

Piper Companies seeks an experienced AI/ML Document Processing Developer to design and implement document ingestion pipelines in AWS. The role focuses on turning unstructured healthcare documents into structured data using OCR, LLMs, and AI-powered processing.

You will build RESTful services, work in an Agile environment, and collaborate with stakeholders to ensure secure, scalable, high-throughput data pipelines. Healthcare domain experience is a plus.

Qualifications

• 5+ years creating RESTful services and event-driven backends in AWS.
• Hands-on with AWS Bedrock or comparable LLM platforms.
• Experience with S3, Lambda, ECS/Fargate or Batch, ECR, IAM, KMS, CloudWatch.
• Strong Python development experience, including concurrency.
• Experience with OCR and document processing tech.
• RDBMS and NoSQL like PostgreSQL and DynamoDB.
• Redis or similar caching systems.

Responsibilities

• Design and build AI-powered document processing pipelines for unstructured data.
• Process healthcare documents across PDFs, DOCX, emails, and scans.
• Extract, validate, and transform data from unstructured content.
• Build RESTful APIs and event-driven services in AWS.
• Develop scalable data processing pipelines using Python.
• Implement OCR and extraction using AWS Textract, Tesseract, etc.
• Integrate structured outputs into downstream systems and reporting tools.
• Collaborate in Agile teams with stakeholders and manage production fixes.

Skills

RESTful services

Event-driven backends

AWS

Python

OCR / document processing

LLMs / Bedrock

PostgreSQL / DynamoDB

Docker

CI/CD

pytest

JIRA/Agile

Security & HIPAA

Tools

AWS Textract

Tesseract

GitHub Actions

Terraform

CloudFormation

AWS CDK

Snowflake

Redshift

Job description

AI/ML Document Processing Developer

Locations: Connecticut, Delaware, Florida, Georgia, Indiana, Kentucky, Maine, Maryland, Massachusetts, Michigan, New Hampshire, New Jersey, New York, North Carolina, Ohio, Pennsylvania, Rhode Island, South Carolina, Tennessee, Vermont, Virginia, West Virginia, District of Columbia.

Overview

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.

Responsibilities

• Design and develop AI-powered document processing pipelines for unstructured data.
• Process healthcare-related documents across multiple formats, including PDFs, DOCX files, 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 tools such as AWS Textract, Tesseract, or similar technologies.
• 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 ongoing platform improvements.
• Ensure security, scalability, and operational excellence across cloud-based solutions.

Required 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.

Preferred Qualifications

• Healthcare, health insurance, or regulated industry experience.
• Experience with CMS-related projects and healthcare document workflows.
• Experience measuring and improving LLM/model performance through prompt optimization, precision/recall analysis, A/B testing, and error analysis.
• Experience designing hybrid AI architectures that combine deterministic business rules with LLM-based processing.
• Experience handling PII/PHI in HIPAA-compliant environments.
• Experience integrating data with Salesforce.
• Experience with Snowflake, Redshift, or similar analytics platforms.
• Experience with Infrastructure as Code tools such as Terraform, AWS CDK, or CloudFormation.
• Active AWS certification(s).

Clearance Requirement

• Ability to obtain and maintain a CMS T4 Public Trust clearance.

Non-Negotiable Requirements

• 5+ years of experience developing RESTful services and event-driven backends in AWS.
• Hands-on experience with AWS Bedrock or comparable LLM platforms.
• Production experience with AWS services including S3, Lambda, ECS/Fargate or Batch, ECR, IAM, KMS, and CloudWatch.
• Strong Python development experience.
• Experience building document processing and extraction solutions using AI/ML technologies.

Compensation:

• Salary: $146,000 - $158,000
• Benifit: Benefits: PTO, Paid Holidays, Medical, Dental, Vision, 401(k), Sick Leave (as required by law)

Keywords:

AI/ML, Machine Learning, Artificial Intelligence, AWS, Amazon Web Services, AWS Bedrock, Large Language Models, LLM, Prompt Engineering, Generative AI, REST API, RESTful Services, Event-Driven Architecture, Event-Driven Backends, Python, S3, Lambda, AWS Lambda, ECS, Fargate, AWS Batch, ECR, IAM, KMS, CloudWatch, Document Processing, Intelligent Document Processing, OCR, Optical Character Recognition, AWS Textract, Tesseract, PDF Processing, DOCX Processing, Email Processing, Unstructured Data, Structured Data Extraction, Data Validation, Data Pipelines, Backend Development, API Development, Microservices, PostgreSQL, Postgres, DynamoDB, NoSQL, Relational Databases, Redis, Docker, Containerization, CI/CD, Git, GitHub Actions, Jenkins, Pytest, Automated Testing, Unit Testing, Agile, Scrum, JIRA, Healthcare, Health Insurance, Claims Processing, CMS, Medicare, Medicaid, HIPAA, PHI, PII, Healthcare Documents, Data Integration, Salesforce, Snowflake, Redshift, Terraform, CloudFormation, AWS CDK, Infrastructure as Code, IaC, Batch Processing, Concurrent Processing, High-Throughput Systems, Model Evaluation, Precision Recall, A/B Testing, Prompt Optimization, Error Analysis, Token Management, Cost Optimization, Hybrid AI Architecture, Production Support, Troubleshooting, Cloud Security, VPC, Encryption, Least Privilege Access, Audit Logging, Public Trust Clearance