AI Engineer Healthcare & RCM

Hiring for Moative — via Flexiple, the recruiting partner on this role.

About the Company

Moative is an AI company that partners with mid-market businesses in asset-heavy, regulated industries to co-build industry-specific agentic and machine-learning solutions, then scales them across the industry through revenue-share and equity-linked models. The founders have built and sold two companies, one of them in AI, and the 20+ person team of AI/ML engineers, data scientists and mathematicians comes from IITs, IISc, CERN, UZH and IBM Research. Its healthcare business builds AI agents that run revenue-cycle and administrative work for US healthcare practices.

About the Role

Youll build and deploy AI agents, automations and data workflows for US healthcare revenue cycle management (RCM). Youll own each workflow end to end, from understanding how billing teams work today through deployment, evaluation and ongoing improvement. Youll work alongside AI/ML engineers, data scientists and domain specialists, directly with billing and operations teams. The role is based in Chennai, hybrid with 3 days a week in the office.

What youll do

• Build agents for payer-portal automation: claim status checks and EOB retrieval across inconsistent portal layouts
• Build voice agents for payer follow-up, integrating speech-to-text and text-to-speech
• Turn fragmented healthcare data (scanned PDFs, EOBs, ERAs, incomplete records) into validated, structured inputs
• Analyse claim journeys and revenue-cycle bottlenecks and surface AI-assisted insights into practice performance
• Evaluate accuracy and completion rates on representative test sets, and monitor failures and operating costs
• Add retries, exception queues and human escalation to every workflow
• Apply privacy and security controls: access restrictions, audit trails, and no patient data in logs or model inputs
• Measure outcomes such as time saved, claims processed and turnaround, with the teams using the systems

What you bring

• 2–5 years of professional AI engineering (not just internships or academic projects), including systems used in real operations
• Youve deployed and supported an LLM application or AI agent in production, using RAG, tool calling or multi-step workflows, and can explain how it was evaluated, what failed and how you fixed it
• Hands-on AI or automation work on healthcare RCM workflows such as claim status, AR follow-up, denials, payment posting or payer interactions
• Strong production Python and SQL, API integration, and working JavaScript/TypeScript
• Browser or UI automation with Playwright, Selenium or UiPath, with error handling and human escalation
• Deployment and monitoring on AWS, Azure or GCP using containers, version control and automated testing
• Experience handling sensitive data with access controls and secure logging

Nice to have

• Delivering for US healthcare providers, RCM companies or payer-facing operations
• Practice-management or EHR integrations, payer portals, EOB or ERA data
• Voice agents, MCP integrations, Kubernetes, serverless or event-driven architectures

Originally posted on: 30 Oct 2026