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.
● 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)
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
