Senior/Lead AI Automation Engineer

Experience: 6 to 15 Years

Job Location: Madurai, Tamil Nadu, India

Mode of Work: Hybrid — either 2 days per week OR 5 days of work from the Madurai office per month.

Notice Period: Immediate joiners preferred only.

Relevant Experience & Skills: GenAI, AI Agent Framework, Python, FastAPI, Flask or Django, RAG, LLM

Integration, SQL

Work Timing: 2 PM to 11:30 PM IST (Afternoon Shift)

Communication: Excellent communication. Experience working in RCM/Healthcare/Insurance domain preferred.

Interview Process

- L1 Technical Discussion: Virtual discussion via Google Meet.
- L2 Technical Discussion: Virtual discussion via Google Meet.
- VP Discussion: Virtual discussion via Google Meet.
- Client Interviews L1 & L2: Virtual.

Role Overview We are seeking an experienced AI Automation Engineer 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

- 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.

Required Skills

Backend Engineering

- Python (Expert)
- FastAPI, Flask or Django
- REST APIs, WebSockets, Async Programming
- Microservices architecture
- External API integrations
- C#/.NET integration experience

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

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.
- Robust 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)

Pay: Up to ₹120,000.00 per month

Work Location: In person

📌 Senior/Lead AI Automation Engineer (Madurai)
🏢 Qinvox
📍 Madurai