Senior AI Automation Engineer
Posted on September 9, 2026
Job Description
Senior AI Automation Engineer
Overview
The role involves designing and building enterprise-grade AI automation platforms for Healthcare and Revenue Cycle Management (RCM), with strong expertise in Python backend development, workflow orchestration, AI agent frameworks, cloud-native architecture and enterprise integrations.
Key Responsibilities
- Python backend development – Expert
- FastAPI / Flask / Django
- REST APIs, WebSockets, asynchronous programming
- Microservices architecture
- Temporal or equivalent workflow orchestration
- Event-driven architecture and distributed processing
- Long-running workflow and state management
- AI Agents – CrewAI, AutoGen, Semantic Kernel, LangGraph, etc.
- LLM integration – Amazon Bedrock / OpenAI / Azure OpenAI
- Prompt Engineering, Guardrails and RAG
- Vector DBs – ChromaDB, Pinecone, pgvector
- MCP and AI Skills/Tooling
- C/.NET integration
- OAuth2, JWT, SSO, RBAC/ABAC and API Security
- AWS preferred / Azure
- Docker, Git and CI/CD
- AI Ops, monitoring, logging, observability and model monitoring
- SQL Server / PostgreSQL / Redshift
- Redis, NoSQL and Vector Databases
- Production deployment and support
- Healthcare/RCM workflows including claims, enrollment, eligibility, payer/provider integrations and document automation.
Required Skills
- Relevant AI Automation experience is mandatory.
Preferred Skills
- Kubernetes
- Kafka / RabbitMQ
- GraphQL
- Playwright / Browser Automation
- Terraform
- Snowflake / Databricks
- MLflow
- React
- FHIR/HL7
Qualifications
- Experience: 6+ Years
- Openings: 1
- Timing: 2:00 PM – 11:30 PM IST
- Flexibility: Working hours may extend based on business requirements
- Duration: Long-term
- Mode: Remote
- Travel: Madurai on need basis
Other Details
- Vendor Requirements:
- Mandatory direct vendor bench only.
- PF statements required as proof.
- No multi-layer vendors.
Required Skills
No specific skills listed.
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