Senior AIML Engineer
Dear Candidate,
Greetings of the day!!
I am Kantha, and I'm reaching out to you regarding an exciting opportunity with Naveera. You can connect with me on LinkedIn: https://www.linkedin.com/in/kantha-m-ashwin-186ba3244/
About Company
Naveera Technology LLC is a trusted global engineering partner delivering Data Engineering, Generative AI, Application Development, and IT Infrastructure solutions. With over 15 years of experience in IT services and consulting, we help organizations transform raw data into actionable business value.
With a team of 100+ employees and successful delivery of 5+ global projects, Naveera serves clients across multiple industries and geographies through agile delivery models and proven engineering practices.
From Digital Health and Financial Services to E-Commerce and Technology, we support a diverse client base and back every engagement with proven frameworks, low-attrition teams, and scalable global delivery capabilities. At Naveera, we empower organizations to turn challenges into opportunities, data into insights, and innovative ideas into enterprise-grade platforms.
Website
https://naveeratech.com/
Specialties
Data Engineering & Modern Data Stack, Generative AI Solutions & Model Deployment, Application Development (Web, Mobile & Enterprise), Artificial Intelligence (Predictive, Conversational, Computer Vision), IT Infrastructure Services (Cloud & On-Prem), Security, DR, Cloud Transformation & Microservices, DevOps, API & Systems Integration, Extended Technology Teams & Dedicated Delivery, Real-Time Streaming & Analytics, and BI & Data Warehousing
Job Title: AIML Engineer
Experience: 7+ Years
Job Location: Madurai, Tamil Nadu, India
Shift: 2:00 PM 11:30 PM IST
Working Mode: Hybrid/WFO (Weekly twice/Monthly 5 days work from office)
Job Type: Full-Time
We are seeking an experienced AI Engineer 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 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, 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-PersonIf you are Interested please share the details below along with your updated resume to kanthasanmugam.m@naveeratech.com
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 travel to the Madurai office is required, with a mandatory 5-working-day.(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:
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