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Secret Clearance preferred.\nJob Description:\nAs an AI/ML Document Processing Developer, you will help ensure today is safe and tomorrow is smarter. Our work depends on an AI/ML Document Processing Developer joining our team to build and operate backend services and batch pipelines that classify and extract data from high-volume document sets using AWS Bedrock. You will own 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.\nResponsibilities (include but are not limited to):\nBuild AI unstructured data document scanning pipeline.\nProcess a variety of unstructured healthcare provider and health insurance data files across many different document formats.\nExtract key data elements to be used for business logic and data validation.\nConvert unstructured document scanning results into useable structured business data.\nRequirements:\n5+ years of experience developing RESTful services and event-driven backends in AWS\nHands-on experience with AWS Bedrock or comparable LLM platforms, including prompt engineering, structured output, model selection, and token/cost management\nProduction experience with AWS: S3, Lambda, ECS/Fargate or Batch, ECR, IAM, KMS, and CloudWatch\nExperience developing RESTful services and event-driven backends\nStrong Python, including concurrent processing for high-throughput batch workloads\nDocument and text processing: PDF, DOCX, email formats; OCR using Textract, Tesseract, and/or similar tool\nRelational and NoSQL databases, such as Postgres and DynamoDB, and caching using Redis\nDocker image builds and deployment through CI/CD such as Git, Jenkins and/or GitHub Actions\nUnit testing and code coverage using pytest and/or equivalent\nHands-on experience with agile development and tools, including JIRA\nStrong communication skills with the ability to present ideas to various levels/skillsets, both internally and externally.\nProvide technical assistance and end user troubleshooting for bug fixes, enhancements, and “how-to” assistance.\nAbility to multitask between multiple projects and both business and technical stakeholders.\nPreferred:\nHealthcare Service Industry or Center for Medicare and Medicaid Services (CMS) experience \nExperience measuring and improving model output 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