Senior ArificiaI Intelligence & Machine Learning Engineer | Lead | Architect

Greetings of the day!!

I am Arumugam Veera, reaching out to you regarding an exciting career opportunity with Naveera Technology LLC. I would be happy to connect and discuss the opportunity further. You can also connect with me on LinkedIn:https://www.linkedin.com/in/arumugamv/

About Naveera Technology LLC

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 3+ 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.

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: Senior AI & Machine Learning Engineer | Lead | Architect

Experience: 7 to 15 Years

Job Location: Madurai, Tamil Nadu, India

Shift: 2:00 PM 11:30 PM IST

Working Mode: Remote (Monthly 5 Days WFO from Madurai Location)

Job Type: Full-Time

Role Overview

We are seeking an experienced AI Automation Engineer/Lead 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

• Lead the architecture and development of AI-driven automation platforms and intelligent workflows.


• 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

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, 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)

• Flexible Remote/Hybrid work environment.


• Exposure to global enterprise customers.


• Collaborative, innovation-driven engineering culture.


• Continuous learning and certification opportunities.

Join Naveera Technology LLC and play a pivotal role in delivering enterprise-scale AWS-to-GCP cloud transformation programs. Lead the modernization of data platforms, ETL pipelines, and analytics ecosystems while driving innovation across cloud-native data engineering, Data Lakehouse architectures, and next-generation Business Intelligence solutions.