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

• Architecture and development of AI-driven automation platforms and intelligent workflows.
• Build scalable Python backend services including REST APIs, asynchronous processing, and 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 using 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

Workflow & Automation

• Temporal – Preferred, or equivalent workflow orchestration
• Event-driven architecture
• Distributed processing
• Long-running workflow management
• State management

AI & Automation

• AI Agent frameworks such as 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

Other Details

• Experience: 6+ Years
• Openings: 1
• Work Mode: Remote
• Location: Remote – Travel to Madurai on need basis
• Working Hours: 2:00 PM – 11:30 PM IST
• Flexibility: May need to extend working hours based on business requirements
• Duration: Long-term
• Vendor Requirements:
• Mandatory direct vendor bench only
• PF statements are mandatory as proof
• No multi-layer vendors