Cleared AI/ML Data Document Processing Developer - 173227

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. 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)