Job Title: AIML Engineer
Experience: 4 Years
Job Location: Madurai, Tamil Nadu, India
Shift: 2:00 PM 11:30 PM IST
Working Mode: Remote/Hybrid/WFO (Open to traveling once in a monthly/Quarterly)
Job Type: Full-Time
We are seeking an experienced AI Automation Lead/Architect to design and build enterprise-grade AI automation platforms for Healthcare. 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
● Built and enhanced AI-driven automation modules using machine learning and Generative AI & technologies.
● 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 contemporary 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, enrolment, 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 (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, Enrolment, 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)
Interview Process:
- L1 Technical Discussion: Virtual discussion via Google Meet.
- L2 Technical Discussion: Virtual discussion via Google Meet.
- CTO Discussion: Virtual discussion via Google Meet.
- Client Interviews L1 & L2: Virtual
- HR Discussion: Virtual / In-Person
- Onboarding: Virtual / In-Person
- If you are Interested please share the details below along with your updated resume to
[email protected]
Candidate Full Name:
Contact Number:
Email ID:
Total Experience:
Rel Exp in AI & Machine Learning:
Rel Exp in hands-on coding in Python:
Rel Exp in Rag & LLM
Rel Exp in Deep learning, Scikit learn, PyTorch, TensorFlow, Python, MLOps:
Experience in the Healthcare Domain (Yes/No):
Have you worked on Customer-Facing role with Onsite team at USA (Yes/No):
Current Company Name:
If on contract, please mention the Payroll Company Name:
Pls mention the designation mentioned as per your offer letter/Payslips:
Current CTC Per Annum:
Expected CTC Per Annum:
Current Location:
Preferred Location (Madurai):
Preferred Working Mode (Hybrid/Remote): Monthly and Quarterly travel to the Madurai office is required, with a mandatory 5-working-day stay. Please note that accommodation and travel expenses will not be reimbursed by the company? (Yes/NO):
Are you willing to relocate to Madurai and Work from the office? (YES/NO)
Are you willing to work from the Madurai office for one Week every month? (YES/NO)
Are you willing to work from the Madurai office for one Week every quarter? (YES/NO):
Current Notice Period:
If you are serving Notice Please mention the Last working day:
Your Native Location:
If you are holding any offer, Pls mention the offered Company & CTC, Location, Mode of Work and date of joining:
If you are get selected, Pls mention the Date of Joining with us:
Reason for Job Change:
Are you willing to work in the 2:00 PM to 11:30 PM IST shift? Please note that extended working hours may be required rarely based on business needs. (Yes/No)
Marital Status:
LinkedIn URL:
Do you have an active PF account?
Rate your communication out of 5:
Any Gaps in your Career/Employment:
- Available for the Virtual interview on Weekdays (Yes/No):
📌 Senior AIML Engineer (Madurai)
🏢 Naveera Technology
📍 Madurai