**Greetings of the day!!**
I am Arumugam Veera, reaching out to you regarding an exciting career opportunity with **Naveera Technology LLC.** I would be happy to connect and discuss the opportunity further. You can also connect with me on LinkedIn:[https://www.linkedin.com/in/arumugamv/](https://www.linkedin.com/in/arumugamv/)
**Specialties**
Data Engineering & Modern Data Stack, Generative AI Solutions & Model Deployment, Application Development (Web, Mobile & Enterprise), Artificial Intelligence (Predictive, Conversational, Computer Vision), IT Infrastructure Services (Cloud & On-Prem), Security, DR, Cloud Transformation & Microservices, DevOps, API & Systems Integration, Extended Technology Teams & Dedicated Delivery, Real-Time Streaming & Analytics, and BI & Data Warehousing
**Job Title: Senior/Lead Data Scientist / AIML Engineer/ AI Automation Engineer**
**Experience: 7 to 15 Years**
**Shift: 2:00 PM 11:30 PM IST**
**Job Type: Full-Time**
**Mode:Working from Office**
**Location: Madurai, Tamil Nadu**
Role Overview
We are seeking an experienced AI Automation Engineer/Lead to design and build enterprise-grade AI automation platforms for Healthcare and Revenue Cycle Management (RCM). The ideal candidate will have strong expertise in Python backend development, workflow orchestration, AI agent frameworks, cloud-native architecture, and enterprise integrations. This role will lead the implementation of scalable AI solutions while mentoring engineers and collaborating with cross-functional teams.
Key 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.
## Tasks
Required Skills
Backend Engineering
- Python (Expert)
- FastAPI, Flask or Django
- REST APIs, WebSockets, Async Programming
- Microservices architecture
- External API integrations
- C#/.NET integration experience
Workflow & Automation
- Temporal (Preferred) or equivalent workflow orchestration
- Event-driven architecture
- Distributed processing
- Long-running workflow management
- State management
AI & Automation
- 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
Security
- OAuth2
- JWT
- SSO
- RBAC / ABAC
- API Security
- Secrets Management
Cloud & AI Ops
- AWS (Preferred) or Azure
- Docker
- Git
- CI/CD Pipelines
- Monitoring & Logging
- AI Ops, Model Monitoring, Observability
- Production Deployment & Support
Databases
- SQL Server / PostgreSQL / Redshift
- Redis
- NoSQL Databases
- Vector Databases
## Requirements
Preferred Qualifications
- 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.
Nice to Have
- 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.
Join Naveera Technology LLC as a Senior/Lead Data Scientist / AIML Engineer. Drive innovation, transform data into business value, and scale impactful solutions with our expert team.
Job description provided by Naveera Technology.
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