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Specialized senior ML/AI role with LLM and healthcare domain reduces broad applicant competition.
Requires ML/AI expertise plus healthcare RCM and enterprise integration, limiting cross-industry transferability.
Explicit 7–15 years plus specific LLM, Temporal, Python, and healthcare domain requirements enforce strict filters.
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Lead architecture and development of enterprise-grade AI automation and intelligent workflow platforms, primarily for healthcare and Revenue Cycle Management.
Build and maintain scalable Python backend services, workflow orchestration using Temporal (or equivalents), and AI agent integration with modern LLM frameworks and AWS AI services.
Mentor engineering teams, enforce engineering best practices, and ensure production-grade deployment and support of full-stack AI applications with secure, event-driven backend architectures.
7 to 15 years of relevant experience in AI/ML engineering and backend development.
Expertise in Python backend development (FastAPI, Flask, or Django) with REST APIs, asynchronous processing, and microservices architecture.
Experience with workflow orchestration tools like Temporal or equivalents, AI agent frameworks, and cloud platforms (AWS preferred).
Work Location: Madurai, Tamil Nadu, India with hybrid work mode and monthly one-week onsite travel.
Experienced leader with proven ability to design scalable distributed backend systems and integrate AI solutions into enterprise applications in healthcare domain (RCM, claims, enrollment workflows).
Hands-on expertise in Python and workflow orchestration combined with familiarity with AI agent frameworks, cloud-native architectures, and enterprise system integrations.
Demonstrated technical mentoring and code review capabilities, with experience delivering production-grade full stack AI applications in regulated or complex domains.