Python - Agentic AI Developer

Python Developer — Agentic AI Platform Healthcare RCM Automation | Calpion Inc. Location Experience Positions Bangalore, India Reports to 4–8 years 13 About the Role PM & Technical Lead We are building an enterprise agentic AI platform that serves as the automation backbone across three healthcare RCM product lines — Artemis (ABA therapy management), Olympus. This platform replaces traditional RPA with intelligent agents that reason, adapt, and self-heal — combining deterministic automation with LLM-powered decision-making for healthcare workflows. You will be a core member of the platform team, responsible for building reusable agent workflows, MCP tool integrations, and the LLM reasoning layer that powers denial management, payer intelligence, document processing, and browser automation across all products. This is not a chatbot or copilot role. You will be building production agents that process healthcare claims, interact with payer portals, generate appeal letters, parse EDI transactions, and make decisions that directly impact revenue recovery. The work requires equal comfort with infrastructure-level Python, LLM prompt engineering, and healthcare domain understanding. What You Will Work On Agent Development & Orchestration • Design and build agentic workflows using LangGraph for complex, multi-step healthcare processes — denial management pipelines, eligibility verification chains, prior authorization workflows • Implement the 4-tier cost architecture: deterministic scripts (Tier 1), LLM fallback for self healing (Tier 2), cached AI navigation (Tier 3), and full reasoning agents (Tier 4) • Build multi-agent systems where specialized agents (claim analyzer, appeal writer, payer policy checker) collaborate through structured handoffs • Integrate agents with AWS Step Functions for durable, stateful execution of long-running workflows with human-in-the-loop approval gates MCP Tool Development Page 1 Calpion Inc. | Confidential • Build reusable MCP (Model Context Protocol) server tools wrapping existing APIs — AdvancedMD, CollaborateMD, clearinghouse APIs (Waystar, Change Healthcare, Availity), payer portal integrations • Design the MCP tool library architecture so that every connector built for one product. • Implement custom MCP tools for healthcare-specific operations: EDI 835/837 parsing, CARC/RARC code lookup, CPT/ICD-10 reference queries, payer policy retrieval Browser Automation • Build and maintain Playwright-based browser automation for healthcare portals (AdvancedMD, payer portals, clearinghouse portals) • Implement the LLM fallback self-healing pattern — deterministic Playwright as primary path, Claude Vision via Bedrock for automatic recovery when portal UI selectors break • Develop cached navigation plans for payer portals — LLM discovers navigation once, caches the plan, replays deterministically on subsequent runs • Integrate with Amazon Bedrock AgentCore Browser Tool for managed, isolated browser sessions Must-Have Skills…