Python - Agentic AI Developer
Builds the agent workflows of an enterprise agentic AI platform automating healthcare RCM (claims, denials, payer portals) for Calpion's product lines. Day to day: async Python, LangGraph multi-agent orchestration, MCP tool integrations, Playwright browser automation with LLM self-healing, and AWS (Step Functions, Bedrock) infrastructure.
- Compensation
- Not disclosed
- Location
- Bangalore North, India
- Work setup
- Not specified
- Seniority
- Lead
- Employment
- Not specified
- Experience
- 4+ years
- Category
- Ai engineering
- Posted
Skills
Must have
- 4+ years production Python (deployed services handling real workloads)
- Strong async Python (asyncio, aiohttp)
- Pydantic for data validation and structured outputs
- Experience with at least one web automation framework: Playwright (strongly preferred), Selenium, or Puppeteer via Pyppeteer
- Python packaging, dependency management, and maintainable code
- Hands-on experience with at least 4 of: ECS Fargate, Lambda, Step Functions, SQS, SNS, EventBridge, S3, RDS PostgreSQL, Secrets Manager, Bedrock
- Understanding of IAM policies, VPC networking, and security groups
- Experience with CDK or CloudFormation for IaC (CDK TypeScript preferred)
- Practical experience building applications with LLM APIs (Claude, GPT, or equivalent)
- Prompt engineering patterns: ReAct, chain-of-thought, few-shot, structured output extraction
- Experience with at least one agent framework: LangGraph, LangChain, CrewAI, or AutoGen
- Understanding of RAG — vector embeddings, similarity search, knowledge base construction
- Awareness of token economics (when to use an LLM vs regex/SQL)
- Git workflows, code review practices, CI/CD pipelines
- REST API design and consumption
- PostgreSQL — complex queries, indexes, JSONB columns
- Error handling for unreliable external systems (retry logic, circuit breakers, DLQs)
- Structured logging, CloudWatch integration, distributed tracing concepts
Nice to have
- Healthcare RCM domain knowledge — EDI 837/835, CARC/RARC codes, CPT/HCPCS, clearinghouse workflows, payer portals
- MCP (Model Context Protocol) — building MCP servers/tools or familiarity with the spec
- Amazon Bedrock — AgentCore, Knowledge Bases, or Bedrock Runtime API
- LangGraph specifically — graph-based state machine design
- Document AI — PDF extraction, OCR, table extraction
- HIPAA compliance awareness — PHI handling, encryption, audit trails
- Playwright MCP server for browser automation via AI agents
- Voice/telephony integration — Twilio, Deepgram, ElevenLabs
- Prior experience with RPA tools (UiPath, Automation Anywhere, Blue Prism)
Full description
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
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Calpion Inc. | Confidential
- Build reusable MCP (Model Context Protocol) server tools wrapping existing APIs —
AdvancedMD, CollaborateMD, clearinghouse APIs (Waystar, Change Healthcare,