Remote AI/ML Document Processing Engineer

Arena Technical Resources, LLC; Springfield (VA); Remote; USD 103,000 - 110,000; Full time

Job summary

Arena Technical Resources, LLC is seeking an AI/ML Document Processing Developer for a fully remote role. You will build an AI-driven pipeline to process unstructured healthcare data, extract key elements, and convert results into structured business data. The position requires a Bachelor's degree and 5+ years in AWS-based RESTful services with Python.

Candidates should have hands-on AWS Bedrock or similar LLM experience, plus strong Docker, CI/CD, and testing practices. U.S.

Qualifications

• 5+ years of experience building RESTful services and event-driven backends in AWS.
• Hands-on experience with AWS Bedrock or comparable LLM platforms and prompt engineering.
• AWS services including S3, Lambda, ECS/Fargate or Batch, ECR, IAM, KMS, CloudWatch.
• Strong Python with concurrent processing for high-throughput batch workloads.
• Document processing: PDF/DOCX; OCR via Textract or Tesseract.
• Relational and NoSQL databases (Postgres, DynamoDB); Redis caching.
• Docker image builds and CI/CD (Git/Jenkins/GitHub Actions); pytest for tests.

Responsibilities

• Build AI unstructured data document scanning pipeline.
• Process healthcare provider and health insurance data formats.
• Extract key data elements for business logic and validation.
• Convert unstructured results into structured data for downstream use.

Skills

Python

RESTful services

Concurrency

Communication

Education

Bachelor's degree or higher

Tools

AWS Bedrock

S3

Lambda

ECS/Fargate

Batch

ECR

IAM

KMS

CloudWatch

Docker

Git/Jenkins/GitHub Actions

pytest

Job description

Arena Technical Resources, LLC is seeking an AI/ML Document Processing Developer for a fully remote role. You will build an AI-driven pipeline to process unstructured healthcare data, extract key elements, and convert results into structured business data. The position requires a Bachelor's degree and 5+ years in AWS-based RESTful services with Python.

Candidates should have hands-on AWS Bedrock or similar LLM experience, plus strong Docker, CI/CD, and testing practices. U.S.