Artificial Intelligence Engineer

Insight Global

Miami, US

On-site

Why this role

Pace

Fast Paced

Collaboration

High

Autonomy

Medium

Decision Impact

Team

Role Level

Individual Contributor

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

automation-solution-deployment
system-reliability-improvement

Typical background

software-engineeringai-engineering

Transferable backgrounds

Coming from software-engineering
Coming from ai-engineering

Skills & requirements

Required

AWSPythonJavaScriptNext.jsJavaApi-developmentAutomation

Preferred

Ai-platformsAnomaly-detectionAutomated-remediation

Stack & domain

AWSPythonJavaScriptNode.jsNext.jsJavaApi DevelopmentIntegrationAutomation WorkflowsAi EngineeringSoftware EngineeringAutomation Engineering

About the role

Original posting from Insight Global via LinkedIn

Onsite - 4x per week in Miami, FL Downtown**
Must-haves:
3+ years of experience in software engineering, automation engineering, or AI engineering
Strong AWS experience
Hands-on experience developing solutions using one or more LLM/AI platforms such as: Claude (Anthropic), AWS Bedrock, Microsoft Copilot / Copilot Studio
Strong experience with Python, JavaScript/Node.js, Nextjs, Java or similar languages used in AI workflows and automation
Experience building APIs, integrations, and automation workflows
Day-to-day:
This person will design, develop, and deploy intelligent automation solutions that streamline application support, reduce manual effort, and improve system reliability. This role builds and integrates AI-powered tools and workflows using platforms such as Claude, AWS Bedrock, and Copilot Studio, while implementing intelligent monitoring, anomaly detection, and automated remediation for shipboard applications. The engineer also develops scripts, services, and integrations to enable automated testing, diagnostics, incident triage, and reporting across application environments.

Source: Insight Global careers (LinkedIn)