AI/ML Document Processing Developer

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