Senior AI Automation Engineer

• *Job description**

• *Job Title: Senior AI Automation Engineer**

• *Experience: 5 Years**

• *Job Location: Madurai, Tamil Nadu, India**

• *Mode of Work: Hybrid \- 5 days of work from the Madurai office per month.**

• *Notice Period: We prefer immediate joiners only.**

Relevant Experience \& Skills Required: 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 in 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 Eng 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.

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\)

Pay: ₹2,000,000\.00 \- ₹2,200,000\.00 per year

Work Location: In person