Job Role: AI / ML Engineer

Experience: Preferrably 7+ Years

Role Overview:

We are seeking an experienced AI Automation 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.

● Robust 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)

Pay: ₹407,628.29 - ₹1,074,242.27 per year

Experience:

- Python: 3 years (Required)
- Healthcare : 1 year (Required)
- IT: 7 years (Required)
- Revenue Cycle Management: 1 year (Preferred)

Work Location: Remote

📌 AI/ML Engineer (India)
🏢 Rupa Career Solutions
📍 India