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# AI Engineer

- **Company:** Quantiphi, Inc.
- **Location:** United States (Remote available)
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** LangGraph Framework, Artificial Intelligence, Amazon Web Services, Cloud Computing, Cloud Engineering, Cursor, Distributed Systems, Amazon DynamoDB, Middleware, Identity and Access Management, Python (Programming Language), Enterprise Messaging Systems, RabbitMQ, Role-Based Access Control, Software Engineering, Systems Integration, Web Applications, Workflow Management Systems, GitHub Copilot, ReactJS, Fast Healthcare Interoperability Resources, Multi-Agent Systems, Amazon Virtual Private Cloud (VPC), Agentic-AI, Event Driven Architecture, Deployment Automation, Health Level Seven International, Enterprise Integration, Claude, Api Design, Web Architecture, GPT, Automation Anywhere, Human in the Loop
- **Published:** November 8, 2026
- **Apply:** https://www.careerbuilder.com/job-details/ai-engineer--6c2ebd86-8f16-43d3-9428-7ca000966d4d

## About the Role

* Agentic Workflows & AI Systems
 * Expert-level understanding of agentic workflow patterns, Multi-agent orchestration
 + Tool-based reasoning and execution
 + Human-in-the-loop controls
 + Workflow state, memory, and evaluation
 * Strong proficiency in Python, with hands-on experience building AI agents and workflow systems
 * Expert-level experience with LangGraph or equivalent agent orchestration frameworks
 * Deep experience using and supervising coding assistants (ChatGPT, Cursor, Claude) in production environments
 * Proficiency with ChatGPT tools, structured prompting, and multi-agent collaboration
 * Enterprise Integration & Architecture
 * Expert-level understanding of enterprise integration patterns, including:
 + Event-driven and asynchronous integration
 + API-based and message-based communication
 + Workflow orchestration and choreography
 + Integration with shared enterprise services
 * Strong understanding of web architecture, distributed systems, and cloud native design
 * Proven experience designing and operating multi-tenant platforms
 * Deep knowledge of identity and access management, including authentication, authorization, RBAC, and policy enforcement
 * Front End, Cloud & Delivery
 * Advanced experience building React web applications
 * Expert-level understanding of AWS, including:
 + DynamoDB
 + EventBridge
 + Messaging systems (e.g., RabbitMQ)
 + Middleware and integration services
 + VPC networking, IAM, and security boundaries
 * Strong experience with CI/CD pipelines and automated deployments
 * Ability to operate effectively in a human-plus-AI development model, where AI produces code and engineers provide architectural oversight
 * Occasional travel for customer or on-site builds may be required, * Experience in Life Sciences or Healthcare, particularly clinical or commercial platforms
 * Familiarity with FHIR and HL7 standards
 * Experience building customer-facing enterprise platforms
 * Background in platform engineering or internal developer platforms (IDPs)

## Description

* Architect and build full-stack, enterprise-grade platforms using reusable and modular agentic workflow patterns
 * Translate inputs from internal product teams into scalable, AI-powered workflows and services
 * Design and implement agentic workflows, including task decomposition, agent orchestration, tool invocation, memory/state handling, and evaluation
 * Apply enterprise integration patterns to connect AI workflows with internal platforms, shared services, and external customer systems
 * Guide and supervise coding assistants and AI agents (ChatGPT, Cursor, Claude. Github copilot) to accelerate delivery while ensuring correctness, security, and maintainability
 * Design and operate event-driven architectures using AWS native services and messaging middleware
 * Build secure Python back-end services for AI agents, workflow execution, and enterprise integrations
 * Develop React-based front-end applications supporting complex, AI assisted user workflows
 * Design and enforce identity, authentication, authorization, and tenant isolation models for enterprise and customer-facing systems
 * Build and operate multi-tenant architectures with strong guarantees around security, scalability, and compliance
 * Support customer deployments, including occasional on-site builds and integrations
 * Contribute to CI/CD pipelines, infrastructure as code, observability, and operational readiness
*