AI Automation Engineer

Naveera Technology LLC

21h•$20,000 - $35,000•Hybrid

About The Position

We are seeking an experienced AI Automation Engineer/Lead to design and build enterprise-grade AI automation platforms for Healthcare and Revenue Cycle Management (RCM). The ideal candidate will have strong expertise in Python backend development, workflow orchestration, AI agent frameworks, cloud-native architecture, and enterprise integrations. This role will lead the implementation of scalable AI solutions while mentoring engineers and collaborating with cross-functional teams.

Requirements

Python (Expert)
FastAPI, Flask or Django
REST APIs, WebSockets, Async Programming
Microservices architecture
External API integrations
C#/.NET integration experience
Temporal (Preferred) or equivalent workflow orchestration
Event-driven architecture
Distributed processing
Long-running workflow management
State management
AI Agent frameworks (CrewAI, AutoGen, Semantic Kernel, LangGraph, etc.)
LLM integration (Amazon Bedrock/OpenAI/Azure OpenAI)
Prompt Engineering
Guardrails
RAG Architecture
Vector Databases (ChromaDB, Pinecone, pgvector)
MCP (Model Context Protocol) and AI Skills/Tooling knowledge
OAuth2
JWT
SSO
RBAC / ABAC
API Security
Secrets Management
AWS (Preferred) or Azure
Docker
Git
CI/CD Pipelines
Monitoring & Logging
AI Ops, Model Monitoring, Observability
Production Deployment & Support
SQL Server / PostgreSQL / Redshift
Redis
NoSQL Databases
Vector Databases

Nice To Haves

Experience building enterprise AI automation platforms.
Healthcare domain knowledge with Revenue Cycle Management (RCM), Claims, Eligibility, Enrollment, Prior Authorization, or Provider/Payer workflows.
Strong understanding of distributed systems and scalable backend architecture.
Experience integrating AI solutions into existing enterprise applications.
Strong debugging, architecture, and problem-solving skills.
Experience leading technical teams, conducting code reviews, and mentoring engineers.
Experience delivering production-grade Full Stack AI applications.
Kubernetes
Kafka / RabbitMQ
GraphQL
Playwright / Browser Automation
Terraform / Infrastructure as Code
Snowflake, Databricks
MLflow or Model Lifecycle Management
React or modern frontend frameworks
Healthcare interoperability standards (FHIR/HL7)

Responsibilities

Lead the architecture and development of AI-driven automation platforms and intelligent workflows.
Build scalable Python backend services (REST APIs, asynchronous processing, microservices).
Design workflow orchestration using Temporal (or equivalent workflow engines) for long-running business processes.
Develop AI Agents using modern LLM frameworks and AWS AI services.
Integrate Python services with C#/.NET applications, enterprise systems, and external APIs.
Design secure, scalable, stateful/stateless backend architectures with event-driven patterns.
Implement authentication and authorization (OAuth2, JWT, SSO, RBAC/ABAC).
Develop AI-powered healthcare workflows across RCM, enrollment, claims, payer/provider integrations, and document automation.
Build Full Stack AI applications including backend APIs, workflow services, AI orchestration, and frontend integration.
Implement AI Ops practices including monitoring, observability, model lifecycle management, logging, evaluation, and production support.
Drive engineering best practices, code quality, CI/CD, documentation, and mentor development teams.