Note: The job is a remote job and is open to candidates in USA. Naveera Technology LLC is a global engineering partner delivering data engineering, generative AI, application development, and IT infrastructure solutions. The company is seeking a senior AI automation leader to design and build enterprise-grade AI automation platforms and intelligent workflows for healthcare and Revenue Cycle Management, while leading implementation, mentoring engineers, and collaborating with cross-functional teams.
Responsibilities
- Lead the architecture and development of AI-driven automation platforms and intelligent workflows
- Build scalable Python backend services (REST APIs, asynchronous processing, microservices)
- Design workflow orchestration using Temporal (or equivalent workflow engines) for long-running business processes
- Develop AI Agents using modern LLM frameworks and AWS AI services
- Integrate Python services with C#/.NET applications, enterprise systems, and external APIs
- Design secure, scalable, stateful/stateless backend architectures with event-driven patterns
- Implement authentication and authorization (OAuth2, JWT, SSO, RBAC/ABAC)
- Develop AI-powered healthcare workflows across RCM, enrollment, claims, payer/provider integrations, and document automation
- Build Full Stack AI applications including backend APIs, workflow services, AI orchestration, and frontend integration
- Implement AI Ops practices including monitoring, observability, model lifecycle management, logging, evaluation, and production support
- Drive engineering best practices, code quality, CI/CD, documentation, and mentor development teams
Skills
- Experience: 7 to 15 Years
- Shift: 2:00 PM 11:30 PM IST
- **Mode: If the resource from India then preferrbly Working from Office**
- **Python (Expert)**
- **FastAPI, Flask or Django**
- **REST APIs, WebSockets, Async Programming**
- **Microservices architecture**
- **External API integrations**
- **C#/.NET integration experience**
- **Event-driven architecture**
- **Distributed processing**
- **Long-running workflow management**
- **State management**
- **AI Agent frameworks (CrewAI, AutoGen, Semantic Kernel, LangGraph, etc.)**
- **LLM integration (Amazon Bedrock/OpenAI/Azure OpenAI)**
- **Prompt Engineering**
- **Guardrails**
- **RAG Architecture**
- **Vector Databases (ChromaDB, Pinecone, pgvector)**
- **MCP (Model Context Protocol) and AI Skills/Tooling knowledge**
- **OAuth2**
- **JWT**
- **SSO**
- **RBAC / ABAC**
- **API Security**
- **Secrets Management**
- **Docker**
- **Git**
- **CI/CD Pipelines**
- **Monitoring & Logging**
- **AI Ops, Model Monitoring, Observability**
- **Production Deployment & Support**
- **SQL Server / PostgreSQL / Redshift**
- **Redis**
- **NoSQL Databases**
- **Vector Databases**
- **Temporal (Preferred) or equivalent workflow orchestration**
- **AWS (Preferred) or Azure**
- **Experience building enterprise AI automation platforms.**
- **Healthcare domain knowledge with Revenue Cycle Management (RCM), Claims, Eligibility, Enrollment, Prior Authorization, or Provider/Payer workflows.**
- **Strong understanding of distributed systems and scalable backend architecture.**
- **Experience integrating AI solutions into existing enterprise applications.**
- **Strong debugging, architecture, and problem-solving skills.**
- **Experience leading technical teams, conducting code reviews, and mentoring engineers.**
- **Experience delivering production-grade Full Stack AI applications.**
- **Kubernetes**
- **Kafka / RabbitMQ**
- **GraphQL**
- **Playwright / Browser Automation**
- **Terraform / Infrastructure as Code**
- **Snowflake, Databricks**
- **MLflow or Model Lifecycle Management**
- **React or modern frontend frameworks**
- **Healthcare interoperability standards (FHIR/HL7)**
Benefits
- Flexible Remote/Hybrid work environment.
- Exposure to global enterprise customers.
- Collaborative, innovation-driven engineering culture.
- Continuous learning and certification opportunities.
Company Overview