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Protocol Intelligence
Data-driven signals on your job's competitivenessRemote role with an AI/ML title increases applicant competition despite some niche LLM and agent requirements.
Requires production ML/AI skills plus healthcare/RCM domain integrations, making cross-industry transfer moderately constrained.
Extensive mandatory technical stack and production ML/AI requirements will enforce strict shortlisting filters.
Job Description
Structured overview of role & requirementsAbout This Role
Design, develop, and deploy scalable, production-grade AI automation solutions primarily targeting Healthcare and Revenue Cycle Management (RCM).
Build and maintain Python backend services, REST APIs, asynchronous workflows, and microservices integrated with enterprise systems (including C#/.NET applications).
Lead architecture decisions, implement AI-powered workflows (including RAG and AI agent frameworks), ensure security protocols, provide production support, and mentor engineering teams.
Minimum Requirements
Expert proficiency in Python and experience with FastAPI, Flask, or Django frameworks.
Hands-on experience with AI agent frameworks (e.g., LangGraph, AutoGen), LLM platforms (e.g., Amazon Bedrock, OpenAI), and RAG implementations.
Experience integrating Python services with C#/.NET applications and enterprise APIs.
Work Experience Required: Not explicitly mentioned in the JD. Must be willing to work afternoon shift (2:00 PM to 11:30 PM IST) and monthly 5 days onsite at Madurai office (rest remote).
Ideal Candidate Profile
Strong backend engineering focus combined with practical production deployment of AI/ML-driven automation workflows, preferably in Healthcare/Retail domains.
Experienced in building scalable, secure, event-driven distributed architectures including OAuth2, JWT, SSO, RBAC/ABAC security models.
Comfortable operating in enterprise cloud environments (AWS preferred), with hands-on exposure to AI Ops, monitoring, lifecycle management, and production support of AI solutions.