Job description

Remote / WFO / Hybrid: Remote Hire Type (FTE/Contract): Contract Project Duration: 5 months – most likely to extend till 12 months Expected Start Date: 11/02/2026 Rate – 60/hr Backend & Agent Engineer – AI/Agentic Automation Experience: 6–9 years Domain: Healthcare / Medicaid Project: Medicaid Record-to-Report (R2R) Agentic Automation 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 Skills • Strong Python and SQL • FastAPI or equivalent Python API framework • REST APIs and microservices • AI/LLM and Agentic AI concepts • Agent orchestration and state management • Prompt engineering and tool/function calling • RAG and enterprise data integration • Workflow orchestration and exception handling • Automated testing and CI/CD • Observability, logging, telemetry, and tracing • IAM/RBAC, secrets management, encryption, and secure API design Preferred Technology Experience • LangChain / LangGraph • Azure OpenAI • Databricks / Delta Lake • MLflow tracing and evaluation • Unity Catalog • MCP (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 encounters • 834, 820, 837, and 835 healthcare transactions • R2R / financial close processes • HIPAA 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.

Requirements

Must-haves

Remote / WFO / Hybrid: Remote
Hire Type (FTE/Contract): Contract
Project Duration: 5 months – most likely to extend till 12 months
Expected Start Date: 11/02/2026
Rate – 60/hr
Backend & Agent Engineer – AI/Agentic Automation
Experience: 6–9 years
Domain: Healthcare / Medicaid
Project: Medicaid Record-to-Report (R2R) Agentic Automation
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 Skills
Strong Python and SQL
FastAPI or equivalent Python API framework
REST APIs and microservices
AI/LLM and Agentic AI concepts

Nice-to-haves

Preferred Technology Experience

Application prep

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aipythonapirestsqlci/cdllmazuredocker

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