Data Scientist

Naveera IT Consulting Pvt Ltd; United States; Hybrid; USD 16,000 - 22,000; Full time

Job summary

Naveera Technology LLC is seeking an experienced AI Automation Engineer to design and build enterprise-grade AI automation platforms for Healthcare and Revenue Cycle Management. You will lead Python backend development, workflow orchestration, and AI agent framework integration in a cloud-native enterprise setting.

The role requires strong backend and AI ops experience, with collaboration across cross-functional teams and mentoring of engineers.

Qualifications

• GenAI, AI Agent Framework, Python, FastAPI, Flask or Django, RAG, LLM Integration, SQL
• Experience in RCM/Healthcare domain preferred
• Monthly travel to the Madurai office with a mandatory 5-working-day stay; travel and accommodation not reimbursed

Responsibilities

• Build scalable Python backend services (REST APIs, asynchronous processing, microservices).
• Design workflow orchestration using Temporal for long-running 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 backend architectures with event-driven patterns.
• Implement authentication and authorization (OAuth2, JWT, SSO, RBAC/ABAC).
• Develop AI-powered healthcare workflows across RCM processes.
• 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.

Skills

Python

FastAPI/Flask/Django

REST APIs

WebSockets

Async Programming

Microservices

External API Integrations

C#/.NET

AI Agent frameworks

LLM integration

Prompt Engineering

Guardrails

RAG Architecture

Vector Databases

MCP & AI Tools

OAuth2

JWT

SSO

RBAC/ABAC

API Security

Secrets Management

AWS / Azure

Docker

Git

CI/CD

Monitoring/Logging

AI Ops/Observability

Production Deployment

SQL Server / PostgreSQL / Redshift

Redis

NoSQL

Tools

C#/.NET integration experience

Job description

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.

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

Website

https://naveeratech.com/

Job Title: Senior AI Engineer/ Data Scientist/ ML Engineer/ Automation Engineer

Experience: 6 to 15 Years

Job Location: Madurai, Tamil Nadu, India

Mode Hybrid & Remote: (Weekly 2 Days or Monthly 5 Days of Working from Madurai Office)

Notice Period: We prefer immediate joiners only. If you have a 30/60/90 day notice period, please disregard this opening.

Relevant Experience & Skills Required: GenAI, AI Agent Framework, Python, FastAPI, Flask or Django , RAG, LLM Integration, SQL

Work Timing: 2 PM to 11:30 PM IST (Afternoon Shift)

Communication: Excellent communication (Experience in Working in RCM/Healthcare Domain preferred)

Note: Monthly travel to the Madurai office is required, with a mandatory 5-working-day stay. Please note that the company will not reimburse accommodation or travel expenses.

Interview Process

• L1 Technical Discussion: Virtual discussion via Google Meet.


• L2 Technical Discussion: Virtual discussion via Google Meet.


• VP Discussion: Virtual discussion via Google Meet.


• Client Interviews L1 & L2: Virtual

Role Overview

We are seeking an experienced AI Automation Eng 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

• 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

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)