Sr Python Backend engineer with Agentic AI
Backend & Agent Engineer – AI/Agentic Automation
Experience:
6–9 years Domain: Healthcare / Medicaid Project: Medicaid Record-to-Report (R2R) Agentic Automatio Role Summary We are looking for a hands-on Backend & Agent Engineer to design and develop scalable backend services and AI/agentic workflows for Medicaid R2R processes. The role combines strong Python/API engineering with agent orchestration, enterprise integrations, workflow state management, observability, security, and production deployment.
Key Responsibilities:
- Develop scalable Python backend services, REST APIs, and integration components.
- Build and orchestrate AI agents for reconciliation, exception investigation, variance analysis, and close processes.
- Implement agent state, routing, tool/function calling, retries, checkpoints, and failure recovery.
- Integrate agents with enterprise data, SQL, APIs, rules engines, and governed tools.
- Implement human-in-the-loop review and approval workflows.
- Develop prompts, grounded context, structured outputs, and evidence-backed agent responses.
- Build automated unit, API, integration, regression, and agent-evaluation tests.
- Implement logging, tracing, monitoring, security, and production-readiness controls.
- Support CI/CD, deployment, configuration, and operational troubleshooting.
- Required Technical SkillsStrong Python and SQLFastAPI or equivalent Python API frameworkREST APIs and microservicesAI/LLM and Agentic AI concepts
- Agent orchestration and state management
- Prompt engineering and tool/function callingRAG and enterprise data integration
- Workflow orchestration and exception handling
- Automated testing and CI/CDObservability, logging, telemetry, and tracingIAM/RBAC, secrets management, encryption, and secure API design
- Preferred Technology Experience
- LangChain / LangGraphAzure OpenAIDatabricks / Delta LakeMLflow tracing and evaluation
- Unity CatalogMCP (Model Context Protocol)
- Databricks Workflows / Model Serving
- Azure DevOps or GitHub Actions
- Docker / containerized deployment
- Healthcare / Medicaid Knowledge
- Working knowledge of:
- Medicaid enrollment and eligibility
- Capitation and reconciliation
- Claims and encounters834, 820, 837, and 835 healthcare transactionsR2R / financial close processesHIPAA and PHI/PII security requirements
Ideal Candidate:
A strong Python backend and AI/agent engineer capable of translating Medicaid finance workflows into secure, scalable, observable, and production-ready agentic solutions, with a clear understanding of when to use deterministic business rules versus LLM-driven reasoning.