M9 Solutions is dedicated to providing IT services and solutions to the Federal Government by mobilizing the right people, skills, clearance levels, and technologies to help organizations that desire improved performance and modern, sustainable change. M9 has provided quality IT services and support to more than 30 Federal Agencies and multiple commercial customers nationwide. Our capabilities include IT Talent Solutions, Data Delivery & Analytics, Cyber Security, Cloud Migration, Applications and Infrastructure, Software Development, and Finance & Accounting.

M9 Solutions is seeking an AI/ML Document Processing Developer to work remotely in support of a government contract for a client located in Washington, DC. An active Public Trust clearance is required.

Responsibilities

Builds and operates backend services and batch pipelines that classify and extract data from high-volume document sets using AWS Bedrock.
Owns the pipeline end to end: S3 ingestion, multi-format parsing, LLM and rules-based classification, OCR fallback, and the tooling around accuracy, cost, and throughput.
Builds AI unstructured data document scanning pipeline.
Processes a variety of unstructured healthcare provider and health insurance data files across many different document formats.
Extracts key data elements to be used for business logic and data validation.
Converts unstructured document scanning results into useable structured business data.

Required Skills and Qualifications

Public Trust security clearance.
Bachelor's degree or higher.
5+ years of experience developing RESTful services and event-driven backends in AWS.
Hands-on experience with AWS Bedrock or comparable LLM platforms, including prompt engineering, structured output, model selection, and token/cost management.
Production experience with AWS: S3, Lambda, Fargate or Batch, ECR, IAM, KMS, and CloudWatch.
Experience developing RESTful services and event-driven backends.
Strong Python, including concurrent processing for high-throughput batch workloads.
Document and text processing: PDF, DOCX, email formats; OCR using Textract, Tesseract, and/or similar tool.
Relational and NoSQL databases, such as Postgres and DynamoDB, and caching using Redis.
Docker image builds and deployment through CI/CD such as Git, Jenkins, and/or GitHub Actions.
Unit testing and code coverage using pytest and/or equivalent.
Hands-on experience with agile development and tools, including JIRA.
Strong communication skills with the ability to present ideas to various levels/skillsets, both internally and externally.
Provides technical assistance and end-user troubleshooting for bug fixes, enhancements, and "how-to" assistance.
Ability to multitask between multiple projects and both business and technical stakeholders.

Preferred Skills and Qualifications

Healthcare service industry or federal health agency experience.
Experience measuring and improving model output quality (ground-truth data sets, precision/recall, A/B comparisons, prompt iteration based on error analysis).
Experience with hybrid architectures combining deterministic rules with LLM inference.
Experience handling PII/PHI under HIPAA or similar (VPC isolation, encryption, least-privilege IAM, audit logging).
Experience with healthcare claims, insurance, or other regulated document workflows.
Salesforce data integration.
SQL analytics environments (Snowflake, Redshift) for pipeline reporting and validation.
Infrastructure as code (Terraform, CDK, CloudFormation).
Active AWS certification(s).

GH 1096