Job Responsibilities Full Stack Development (Backend) Develop high-performance applications for AI-assisted workflows and decision systems Cloud (AWS) Architect and deploy applications on AWS (Lambda, ECS/EKS, API Gateway, S3, DynamoDB, Aurora, Bedrock/SageMaker) Design event-driven and microservices architectures for scalable AI workloads Implement Infrastructure-as-Code (Terraform/CloudFormation) CI/CD & Engineering Excellence Build and optimize CI/CD pipelines (GitHub Actions/Azure DevOps/Jenkins) for automated builds, testing, and deployments Apply MLOps practices including model lifecycle, versioning, and monitoring Improve performance, reliability, observability, and cost efficiency of AI inference systemsKey Skills (Must-Have)Backend: Python (FastAPI/Flask), API designCloud: AWS (Lambda, ECS/EKS, API Gateway, S3, DynamoDB)DevOps: CI/CD, Docker, Kubernetes, TerraformData: SQL/NoSQL, vector databasesRequired Qualifications 8+ years of full stack engineering experience, with strong backend and frontend expertise Strong programming skills in Python and experience with RESTful API development Proven experience working on AWS cloud platform (compute, storage, networking, IAM, monitoring) Strong understanding of CI/CD pipelines, DevOps practices, and containerization (Docker/Kubernetes) Experience integrating AI/ML models into production applicationsPreferred Qualifications Hands-on experience with React.js (hooks, state management, component design) Experience with Agentic AI / Generative AI systems (LLMs, RAG, orchestration frameworks) Familiarity with vector databases (Pinecone, FAISS, OpenSearch) and semantic search Exposure to MLOps ecosystems (model registry, pipelines, evaluation frameworks) Experience in microservices architecture and event-driven systems Prior experience in healthcare/claims domain or regulated environments (preferred)Healthcare domain exposure (preferred): Experience with healthcare datasets (claims, eligibility, prior authorization, provider directories) Understanding of clinical or operational workflows (provider calls, documentation, adjudication steps) Awareness of healthcare data sensitivity and HIPAAlike compliance expectations Role: Software Development - Other,Industry Type: IT Services & Consulting,Department: Engineering - Software & QA,Employment Type: Full Time, PermanentRole Category: Software DevelopmentEducationUG: Any Graduate