About the Project We are building and enhancing a healthcare SaaS application for Chronic Care Management (CCM). The platform is a voice-first AI-powered clinical documentation system that uses Large Language Models (LLMs) and Speech-to-Text AI to automate patient care workflows. We need an experienced Full Stack Developer with AI/ML integration experience to continue feature development, optimize AI pipelines, and complete integrations. Project Scope Enhance existing Node.js backend with new features Develop React/TypeScript frontend components Optimize and enhance AI pipelines for medical transcription and note generation Implement prompt engineering for clinical documentation accuracy Integrate with multiple LLM providers (AWS Bedrock, OpenAI) Complete billing module (X12 837P claim generation) Connect to healthcare clearinghouse via SFTP Responsibilities AI/ML Engineering: Design and optimize LLM prompts for medical SOAP note generation Implement hybrid AI routing (small models for simple tasks, large models for complex) Integrate with AWS Bedrock for HIPAA-compliant AI processing Optimize Deepgram Nova-2 Medical transcription for clinical accuracy Implement token optimization strategies to reduce AI costs Build fallback mechanisms for AI service reliability Create evaluation pipelines to measure AI output quality Fine-tune prompts based on clinical feedback Backend Development: Extend RESTful API endpoints for new features Implement X12 837P EDI file generation for healthcare claims Build SFTP integration for clearinghouse connectivity Optimize database queries and indexing Frontend Development: Build new React components using TypeScript Enhance existing UI/UX for clinical workflows Create real-time AI feedback interfaces Implement billing and claims management interface Required Skills AI/ML Skills (Must Have): 2+ years experience integrating LLM APIs (OpenAI, Anthropic, AWS Bedrock, or similar) Strong understanding of prompt engineering and optimization Experience with Speech-to-Text APIs (Deepgram, AssemblyAI, Whisper, or similar) Understanding of token management and cost optimization for LLM calls Experience building AI pipelines in production applications Familiarity with RAG (Retrieval Augmented Generation) concepts Full Stack Skills (Must Have): 3+ years experience with Node.js backend development 2+ years experience with React and TypeScript Strong experience with Express.js or similar frameworks Proficiency in SQL databases (PostgreSQL preferred) Experience with REST API design and implementation Familiarity with Docker and containerized development Experience with Git version control Nice to Have Experience with healthcare applications or HIPAA requirements Knowledge of medical terminology or clinical documentation (SOAP notes) Experience with AWS Bedrock specifically Familiarity with streaming AI responses (Server-Sent Events, WebSockets) Experience with audio processing libraries Knowledge of X12 EDI formats (837P, 999, 277) Experience building AI evaluation frameworks Understanding of model fine-tuning concepts Job Types: Full-time, Part-time, Permanent, Contractual / Temporary Pay: ₹600,000.00 - ₹2,500,000.00 per year Expected hours: 40 per week Work Location: In person
About the Project We are deploying a healthcare SaaS application to AWS cloud infrastructure. The platform is a voice-first AI-powered clinical documentation system for Chronic Care Management (CCM). The application is built and ready for production deployment; we need an experienced DevOps engineer to handle the cloud infrastructure setup, CI/CD pipelines, and security implementation. Project Scope Deploy a Node.js backend and React frontend to AWS Set up PostgreSQL database on AWS RDS Configure containerized deployment using Docker and AWS Fargate Implement security measures for healthcare compliance Establish CI/CD pipelines for automated deployments Connect to third-party services Responsibilities Set up AWS infrastructure: VPC, subnets, security groups, IAM roles Deploy application containers to AWS Fargate/ECS Provision and configure AWS RDS PostgreSQL with encryption Configure AWS S3 for secure file storage Set up AWS Application Load Balancer with SSL/TLS certificates Implement AWS Cognito for user authentication with MFA Configure CloudWatch for logging, monitoring, and alerting Establish CI/CD pipeline (GitHub Actions or AWS CodePipeline) Set up SFTP connectivity for healthcare clearinghouse integration Document infrastructure and create runbooks for operations team Skills 3+ years experience with AWS cloud services Strong experience with Docker containerization Hands-on experience with AWS ECS/Fargate deployment Experience with AWS RDS (PostgreSQL preferred) Knowledge of VPC design , subnets, NAT Gateway, security groups Experience setting up CI/CD pipelines (GitHub Actions, CodePipeline, or similar) Understanding of SSL/TLS certificates and HTTPS configuration Familiarity with Infrastructure as Code (Terraform, CloudFormation, or CDK) Strong troubleshooting and debugging skills Good communication skills and documentation ability Nice To Have Experience with healthcare applications or HIPAA compliance Knowledge of AWS Cognito for authentication Experience with SFTP/secure file transfer setup Familiarity with Node.js and React applications Experience with CloudWatch logging and monitoring Previous experience deploying AI/ML API integrations Job Types: Full-time, Part-time, Permanent, Contractual / Temporary, Freelance Contract length: 3 months Pay: ₹600,000.00 - ₹2,500,000.00 per year Expected hours: No less than 40 per week Work Location: Hybrid remote in Gurgaon Road, Delhi
About the Project We are deploying a healthcare SaaS application to AWS cloud infrastructure. The platform is a voice-first AI-powered clinical documentation system for Chronic Care Management (CCM). The application is built and ready for production deployment; we need an experienced DevOps engineer to handle the cloud infrastructure setup, CI/CD pipelines, and security implementation. Project Scope Deploy a Node.js backend and React frontend to AWS Set up PostgreSQL database on AWS RDS Configure containerized deployment using Docker and AWS Fargate Implement security measures for healthcare compliance Establish CI/CD pipelines for automated deployments Connect to third-party services Responsibilities Set up AWS infrastructure: VPC, subnets, security groups, IAM roles Deploy application containers to AWS Fargate/ECS Provision and configure AWS RDS PostgreSQL with encryption Configure AWS S3 for secure file storage Set up AWS Application Load Balancer with SSL/TLS certificates Implement AWS Cognito for user authentication with MFA Configure CloudWatch for logging, monitoring, and alerting Establish CI/CD pipeline (GitHub Actions or AWS CodePipeline) Set up SFTP connectivity for healthcare clearinghouse integration Document infrastructure and create runbooks for operations team Skills 3+ years experience with AWS cloud services Strong experience with Docker containerization Hands-on experience with AWS ECS/Fargate deployment Experience with AWS RDS (PostgreSQL preferred) Knowledge of VPC design , subnets, NAT Gateway, security groups Experience setting up CI/CD pipelines (GitHub Actions, CodePipeline, or similar) Understanding of SSL/TLS certificates and HTTPS configuration Familiarity with Infrastructure as Code (Terraform, CloudFormation, or CDK) Strong troubleshooting and debugging skills Good communication skills and documentation ability Nice To Have Experience with healthcare applications or HIPAA compliance Knowledge of AWS Cognito for authentication Experience with SFTP/secure file transfer setup Familiarity with Node.js and React applications Experience with CloudWatch logging and monitoring Previous experience deploying AI/ML API integrations Job Types: Full-time, Part-time, Permanent, Contractual / Temporary, Freelance Contract length: 3 months Pay: ₹600,000.00 - ₹2,500,000.00 per year Expected hours: No less than 40 per week Work Location: Hybrid remote in Gurgaon Road, Delhi